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  1. Generative AI in Business

    Generative AI in Business

    With companies worldwide exploring how to harness generative AI’s potential, it’s critical to make informed decisions about when and how to adopt these technologies. The “Generative AI in Business” course series provides business leaders with a step-by-step guide to incorporate generative AI into their business operations, product offerings, and organizational structures. Through this series, you’ll gain a deep understanding of generative AI’s capabilities, learn to create a tailored action plan based on your specific business challenges, and develop effective strategies to execute that plan. By the end, you'll be equipped with the tools and knowledge to evaluate, implement, and scale generative AI solutions that meet your unique business needs.

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  2. UI/UX Design Fundamentals & Prototyping with Generative AI

    UI/UX Design Fundamentals & Prototyping with Generative AI

    Power your design career forward with user interface/user experience (UI/UX) and GenAI skills that can shape how the world experiences digital products. This hands-on specialization gives designers and other marketing professionals the UI, UX, and GenAI skills to move into UI and app design and create intuitive, user-centered experiences that businesses need. No prior AI experience required. During this specialization, you’ll master the fundamentals of interaction design, usability, and visual design using tools like Figma, while sharpening essential techniques like heuristic evaluation, user journey mapping, A/B testing, micro interactions, and responsive UI development. With that under your belt, you’ll then supercharge your creativity by exploring how generative AI is revolutionizing workflows—from faster ideation and automated prototyping to personalized experiences and smarter usability testing. Through hands-on labs and real-world projects, you’ll generate low and high fidelity wireframes, design variations, interactive prototypes, and transform AI-driven insights into impactful user experiences. By the end, you’ll have a solid grasp of UX/UI fundamentals and know how to leverage the power of GenAI to future-proof your career and stay ahead in the digital era. Enroll today to add UI/UX design and GenAI skills to your resume that will take your design career to the next level.

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  3. Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant

    Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant

    This Specialization is designed to equip learners with essential skills in Logical Reasoning, Verbal Reasoning, Quantitative Aptitude, and Data Interpretation—core components of most entrance exams and job placement tests. Through structured courses, practice sets, and progressive difficulty levels, learners will gain the confidence and speed required to solve complex problems efficiently. Ideal for students and job seekers, this program bridges academic concepts with real-world aptitude test requirements. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

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  4. GenAI for Business Process Automation

    GenAI for Business Process Automation

    The GenAI for Business Process Automation Specialization equips business professionals, analysts, and career switchers with practical, no-code AI automation skills—no prior AI experience required. In this specialization, you’ll explore how generative AI can transform business workflows—from drafting emails and processing documents to building smart automation systems that operate independently. Over three courses, you’ll: Build a strong foundation in prompt engineering and AI-powered task automation Create multi-step workflows using no-code tools like Zapier, ChatGPT, Gemini, and Claude Design and deploy AI agents that can analyze inputs, make decisions, and take action, just like a virtual teammate Unlike coding-heavy AI programs, this specialization focuses on real-world business use cases. You’ll work with scenarios like customer communication, internal task routing, and operational efficiency, and apply what you learn immediately in your current role. Throughout the program, you’ll develop a portfolio of working automations to showcase your skills to employers. You’ll gain the confidence to analyze workflows, identify automation opportunities, and deliver end-to-end AI-powered solutions. Whether you’re looking to transition into roles like AI Automation Specialist, Business Process Analyst, or Digital Transformation Consultant—or simply want to future-proof your career—this program gives you the tools to lead with AI.

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  5. Cyber Security: Leadership

    Cyber Security: Leadership

    This Specialization combines three foundational and leadership-focused courses - Cyber Security: Essentials, Cyber Security: Essentials for the Workplace, and Cyber Security: Essentials for Managers and Leaders to provide a complete pathway into cyber fluency and leadership. It is designed for individuals at all levels who want to understand, apply, and lead effective cyber security practices in professional environments. You’ll begin with the fundamentals, learning how to secure personal and organisational assets against common threats such as phishing, ransomware, and identity theft. You’ll then apply these concepts to workplace scenarios, gaining the tools to create and sustain a culture of cyber awareness across teams. Finally, you’ll advance into leadership-focused training, developing strategies that align cyber priorities with business objectives, strengthen governance, and guide teams through incidents with confidence. Developed by Macquarie University’s Cyber Skills Academy, ranked in the top 1% of universities globally and recognised as Australia’s leading cyber security school, this Specialization combines academic rigour with real-world application. By the end, you’ll be prepared to strengthen organisational resilience, enhance compliance, and safeguard digital trust in an era of constant cyber threats.

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  6. School Health for Children and Adolescents

    School Health for Children and Adolescents

    Children and adolescents spend so much of their time in school regardless of where they live in the world. Health and learning are closely connected in the school setting, where good health and healthy practices create the optimal conditions for students’ academic success. And the contrary is also true: poor heath and unhealthy practices build tall barriers to student learning. The courses of this specialization are designed to equip learners to manage common health conditions including asthma, allergies, diabetes, and seizures. Next they will learn to manage common behavior conditions such as ADHD and autism as well as learning disabilities and concussion. Upon completion of the specialization, learners will be ready to apply newly acquired skills in the provision of social, emotional, behavioral, and special education services. Importantly, they will also be ready to promote healthy practices such as nutrition, physical activity, and community and family participation in their own school community. In pediatric healthcare we do everything possible to ensure the health of children and adolescents but there can be no greater impact on a child’s health than receiving optimal health condition management and healthy practices in school.

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  7. Douglas Kirkland on Photography: Shooting with an 8x10 Camera

    Douglas Kirkland on Photography: Shooting with an 8x10 Camera

    Photographer Douglas Kirkland uses a large-format film camera to shoot portraits.

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  8. CompTIA A+ Core 2: Mobile OS & App Troubleshooting

    CompTIA A+ Core 2: Mobile OS & App Troubleshooting

    Mobile devices can present unique challenges, from crashing apps and battery drains to security risks and OS failures across an entire fleet. Identifying the root cause of these issues is essential for implementing effective, long-term solutions. In this course, learn how to diagnose and resolve mobile operating system and application failures across both Android and iOS environments. Next, discover how to troubleshoot common mobile issues such as app crashes, update failures, and battery performance problems. Finally, explore how to troubleshoot OS security vulnerabilities, handle virtualization and emulation challenges, and conduct fleet-wide root cause analysis. This course is part of a collection designed to prepare learners for the CompTIA A+ Core 2 (220-1202) certification exam.

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  9. Ansible Automation: From Fundamentals to Enterprise

    Ansible Automation: From Fundamentals to Enterprise

    This specialization takes you from the foundations of IT automation to advanced enterprise-scale deployments using Red Hat Ansible Automation Platform. You will learn to create and manage playbooks, roles, and inventories, automate security and compliance tasks, and integrate Ansible into CI/CD pipelines. By the end, you will be equipped with the skills to design, implement, and govern automation strategies used by leading enterprises worldwide. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with IBM or any of its subsidiaries or affiliates. This course is not an official preparation material of IBM. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.

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  10. Building Sustainable Cities

    Building Sustainable Cities

    Building Sustainable Cities offers a comprehensive exploration of urban sustainability and resilience through three distinct courses. The first course, Climate Resilience & Urban Sustainability, equips you with a toolkit of best practices and case studies to address urban challenges. You will gain insights into the history of urban development and the impact of climate change, while engaging with challenges in the built environment like urban heat and flood risk through practical examples. The second course, Policy, Technology, and Carbon-Free Cities, empowers you to apply policy and technology innovations to strengthen community resilience. It emphasizes the role of local governments and citizens, and explores strategies such as carbon removal and smart city innovations. The final course, Sustainable Cities Case Studies, guides you through an analysis of real-world strategies for urban sustainability and resilience, through a focus on four cities: Lahaina, Washington DC, Copenhagen, and Singapore. This course provides a global perspective on best practices, preparing you to contribute effectively to urban resilience initiatives.

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  11. Understanding Data: Navigating Statistics, Science, and AI

    Understanding Data: Navigating Statistics, Science, and AI

    Understanding Data: Navigating Statistics, Data, and AI equips you with the knowledge to engage with data from a more nuanced perspective and increase your impact as a decision-maker in an increasingly data-driven world. Throughout this three-course series, develop essential data literacy skills to navigate claims about data, statistics, science, and artificial intelligence – with no math or programming required. Learn to evaluate statistics used in places like headlines, advertisements, and research to increase your critical thinking skills and deepen your understanding of how scientific research can be misunderstood and misinterpreted. By exploring the recent rise in artificial intelligence (AI), you’ll also learn to engage critically with current narratives regarding data and AI. At the end of this three-course series, you’ll be able to engage with data from a more critical perspective, integrate data and statistics into papers, reports, or stories, and actively support your perspectives with quality data and information.

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  12. Web Apps: Build an app

    Web Apps: Build an app

    You will learn the basic concepts and principles behind building web applications. This would include understanding what a web app is, how it differs from a website, and the core components involved in its creation. The material will probably cover the fundamental skills needed, such as potential introductory concepts for front-end development (user interface) and back-end development (server-side logic). The knowledge areas covered would likely touch on basic web technologies and the general workflow for creating and deploying a simple web application.

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  13. AZ-500: Manage security operations

    AZ-500: Manage security operations

    Gain the knowledge and hands-on skills needed to manage and enhance an organization's security operations. This course covers key principles such as risk assessment, incident response, and the strategic use of security technologies. You'll learn how to monitor security events, analyze threats, and ensure compliance with industry standards. With a strong focus on real-world application, the course lays a solid foundation for effectively leading or supporting security operations.

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  14. AZ-500: Manage identity and access

    AZ-500: Manage identity and access

    You will focus on demonstrating your ability to build applications, showcasing your skills and knowledge in the application development process. This involves demonstrating a practical understanding of how to create functional and effective applications. The emphasis is on applying learned concepts to real-world scenarios and validating your competence in app making.

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  15. Assessment Design with AI

    Assessment Design with AI

    Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact. In this course, teachers will learn how to adjust to the existence of these new technologies. To start, this course will teach some crucial strategies for adjusting existing assessments to expected student use of new AI tools so that you can remain assured your students are achieving your learning goals. Defensive adjustment of our assessments is just the starting point, though; from there, this course will move on to exciting ways you can leverage AI in your class, from teaching students how to use it as a “calculator” for writing to using it yourself to author engaging new assignments tailored to your specific context. At the end, you will come away with the confidence that not only are your students learning what you want them to learn, but that they are going beyond what they could have done in the past using new technologies.

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  16. Chatbots for Instruction

    Chatbots for Instruction

    Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact. In this course, educators will learn about how to leverage these new technologies in instruction as partners to both teachers and students. To start, this course will focus on AI for instruction and how tools like ChatGPT can be phenomenal tools to guide students through informal learning experiences, to give individualized feedback and assistance, and to tutor metacognitive strategies. From there, the course will move on to discussing strategies for having chatbots play a role more as a partner to students. Whether as a brainstorming partner, a debate opponent, a lab assistant, or something else entirely, chatbots have enormous potential to take some of the benefits of social, collaborative learning and make them available 24/7 to learners everywhere. Finally, the course will conclude with strategies for using AI to teach students about artificial intelligence itself to equip them for a world in which familiarity and comfort with AI assistance is a defining feature of the workforce. We will discuss how to teach students to test new tools, find their limitations, and evaluate their boundaries. At the end, you will come away with a comfort using artificial intelligence in your classroom and navigating the pitfalls—practical, ethical, and pedagogical—that come with it.

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  17. AI for Teacher Assistance

    AI for Teacher Assistance

    Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact. In this course, educators will learn about the enormous potential these technologies have to impact education—even if students never use them directly. This course will focus on how AI can help teachers perform routine tasks more efficiently or offer up new activities that would have been impossible without artificial intelligence. This course breaks conversational AI assistance for teachers into three phases of teaching: course creation, course delivery, and course enhancement. Course creation focuses on how AI can help with tasks before students ever enter or log into our classrooms, such as writing and adapting lesson plans, developing schedules, seeding class activities, and authoring course assessments. Course delivery then shifts to how AI can help us interact with our students more efficiently, such as treating the AI as a surrogate student to anticipate possible questions to having AI help author repeated feedback so that the 25th essay we evaluate receives feedback just as strong as the 1st. Course enhancement then turns to how AI can help make our courses better than ever before, through expanded efforts for localization and accessibility, enhanced strategies for assessment, and rapid response content development. At the end, you will come away aware that the greatest potential for AI to impact education comes in its ability to help teachers—as well as an understanding of how to use it to help you.

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  18. Capstone for Project Management

    Capstone for Project Management

    If you’re just starting your project management career, or switching into the field, a capstone project is an excellent way to showcase your practical experience to a prospective employer. This Capstone for Project Management course is designed for professionals who have some experience in project management, or have completed introductory training in project management, and are now ready to apply their new skills in a real-world scenario. During this course, you’ll take on the role of a project manager and gain hands-on experience in managing a project from start to finish. As you work through the modules, you’ll produce common project deliverables. Using a predictive methodology, you’ll create artifacts such as a work breakdown structure, network diagram, budget, quality and communications management plans, and a risk register. You’ll develop user stories, examples of product and sprint backlogs, and a burndown chart analysis. Plus, you’ll produce a project status report, a change form, and a closeout report. By the end of the course, you’ll have created numerous artifacts that demonstrate your knowledge of predictive and adaptive methodologies which you can add to your portfolio. If you’re keen to build practical experience as a project manager that you can talk about in interviews, ENROLL TODAY and get ready to power up your resume with skills employers are looking for.

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  19. Introduction to AI & Machine Learning in Healthcare

    Introduction to AI & Machine Learning in Healthcare

    This course introduces you to how Artificial Intelligence (AI) and Machine Learning (ML) can be used to improve healthcare. This is the first course of a two course program. In this self-paced course, you'll be introduced to the fundamentals of AI and ML. The concepts, theories, and principles are tied to real-world healthcare applications and examples. Learn how these technologies enhance clinical and operational decision-making, while exploring the core principles of artificial intelligence and machine learning. Engage in current debates and discussions to understand the latest AI trends in healthcare. Stay updated with cutting-edge research as you discover how AI is transforming the future of healthcare. This course is suitable for anyone who wants to gain a solid foundation in AI and ML and its important implications within healthcare settings. The course is comprised of 5 modules that you should complete in order, as each subsequent module builds on the previous one. Module 1: Overview of AI and its Impact on Healthcare Module 2: AI Legal and Ethical Considerations including Privacy Concerns Module 3: Basics of Data & Healthcare Module 4: Basic Machine Learning Algorithms Module 5: Case Studies of AI & ML in Healthcare

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  20. Providing Technical Support for AWS Workloads

    Providing Technical Support for AWS Workloads

    As a cloud consultant, you might be working with companies of various sizes. Based on a company’s unique business needs, you might be responsible for evaluating their existing business solutions and offering more efficient cloud resources. In this course, you'll understand the types of services available and their capabilities and know how to appropriately map the right solution for each unique use case. You'll gain familiarity with the AWS cloud infrastructure, support methods, and mitigation techniques. The course begins with a review of AWS infrastructure, including a review of the foundational compute, networking, storage and database services. You'll then get introduced to the troubleshooting mindset and learn about the tools available and the importance of making a plan. You'll then get the details on troubleshooting with AWS services (Amazon EC2, Amazon Lambda, Amazon VPC) before closing the course with preventative controls and scenarios when using Amazon S3, Amazon RDS, AWS IAM, and AWS Organizations. By completion of this course, you'll be well-versed in listening to a customer's cloud technology concerns and how to best position the most efficient and cost-effective solution.

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  21. Space Mission Design and Operations

    Space Mission Design and Operations

    Space exploration is a very exciting subject. Consider the achievements of Sputnik 1, Yuri Gagarin's first flight in space, the Apollo missions to the Moon, followed by the Shuttle program, the Hubble Space Telescope launch and maintenance on orbit, and finally the assembly and exploitation of the International Space Station. These were challenging undertakings involving space agencies and industrial teams of several nations, and private companies as well. Space telescopes are in service, and several components of the solar system have been and are still actively visited by a number of unmanned probes and robots providing us with precious knowledge about our space environment as well as the far away Universe. This course builds on university level physics and mechanics to introduce and illustrate orbital dynamics as is applied in the design of space missions. Simple tools will be provided to allow planning of missions on orbit around Earth or in the Solar System. You will learn from the experience of Claude Nicollier, one of the first ESA astronauts, specifically through his involvement in the Shuttle project and his role in the maintenance of the Hubble Space Telescope on two occasions. The course focuses on conceptual understanding of space mechanics, maneuvers, propulsion and control systems used in all spacecraft. You will gain knowledge of the challenges related to the use of the space environment as a platform for scientific and utilitarian purposes.

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  22. Building Batch Data Pipelines on Google Cloud

    Building Batch Data Pipelines on Google Cloud

    Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.

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  23. Understanding Political Concepts

    Understanding Political Concepts

    This course is part of the IPSAMOOC project, a joint venture Federica Weblearning - IPSA, the International Political Science Association Political science discourse brings us face to face with many important concepts like authority, democracy, and power. However, all of them are used differently in different contexts, and their specific meaning depends on the theory they relate to. There is no way around such puzzling diversity. Students of political science simply have to accept this challenge. Yet, the diversity of political science concepts can be used as a powerful resource for learning, through intellectual techniques for stirring personal creativity. This MOOC teaches conceptual thinking and elementary theory-building through Hyperpolitics, an interactive dictionary for understanding and working with the most central concepts in political science. Its aim is to provide students with fresh critical insights about key political concepts by offering a methodology that enables users to unpack and reconstruct them on their own. Its companion open-access website serves as a powerful tool for students to practice forging their own vocabulary while learning how to make professional use of authoritative PS internet resources. Through ten lessons, this MOOC comprises lecture sections based on visualizations of the arguments presented, reading assignments, and practical exercises.

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  24. Urban Infrastructure Management

    Urban Infrastructure Management

    This course will teach you about the management and governance of infrastructures. As cities are currently hosts to half of the world’s population, the role played by urban infrastructures in the delivery of services (such as energy, transport and water) becomes crucial. The management and governance of such complex socio-technical systems becomes vital to ensuring their performance. In this course we look at the economic, social, political, and technological dimensions of urban infrastructure management. Note that this it is not an intensely technical course, but rather a course in the area of (public) management. In addition to covering the basic principles and main schools of thought in managing and governing urban infrastructures, we also focus on two, particularly vital urban infrastructures, namely energy and transport. The course is structured into 4 blocks. The first block provides a solid foundation for understanding urban infrastructures: why are they important? How do they function? Why are they different from other large socio-technical systems? The second block explores the main challenges as well as the main schools of thought in managing and governing urban infrastructures. The third and fourth blocks are dedicated to developing a deeper understanding of urban energy and urban transport management and governance respectively. Block 3 will offer an introduction to urban energy systems, focusing, in particular, on the unique characteristics of these systems. Block 4 will do the same for urban transportation systems and highlight, in particular, the emerging integrated approach to urban mobility.

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  25. Advanced Supply Chain Systems Planning and Network Design.

    Advanced Supply Chain Systems Planning and Network Design.

    Supply Chain Systems Planning and Network Design are essential sources of competitive advantage for organizations. They focus on strategic decisions such as defining the configuration of production and distribution facilities, deciding where to source, and determining how to best serve customers. Every choice impacts customer satisfaction, operational costs, and environmental performance, making supply chain design essential for long-term success. To address these challenges, this online course from the MIT Center for Transportation & Logistics (CTL) will equip you with practical tools and experience using supply chain design models, enabling you to make informed, balanced decisions. Focusing on real-world applications, the course begins with foundational network models, such as transportation, transshipment, and facility location problems. As you progress, you will delve into more complex networks that involve multiple tiers of facilities and multimodal transportation. Additionally, the course will teach you how to integrate revenue and inventory considerations into supply chain design models, and develop the analytical skills needed to balance competing objectives effectively. To enhance learning, the course combines video lectures with practical Python exercises, guiding you through the implementation of quantitative models. No prior knowledge of Python is required , as the course provides a comprehensive introduction to all necessary concepts. You will also have the opportunity to explore interactive visualization tools developed by the MIT CTL Computational and Visual Education (CAVE) Lab, allowing you to gain hands-on experience that bridges theoretical knowledge with real-world applications. This approach, aligned with MIT’s "learning by doing" philosophy, ensures that you not only grasp the concepts but can also apply them in practice.

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  26. AWS Databases & Compute for Data Engineers

    AWS Databases & Compute for Data Engineers

    Supercharge your data engineering career by gaining hands-on experience with AWS databases and computing services! In this comprehensive course, you'll learn how to use AWS products like DynamoDB, RDS, Lambda, EC2, and more to build scalable, high-performance data solutions. Whether you're a novice or an experienced professional, you'll learn by doing with real-world examples and scenarios. Discover important topics, including serverless designs, data migration with AWS DMS, containerization with Docker, ECS, and EKS, and more. Learn how to use Lambda and the Snow Family to handle big data workloads efficiently, ensure security, and automate procedures on Amazon Web Services. This course will allow you to not only gain industry-leading skills but also prepare for AWS certification exams, putting you in line for top data engineering opportunities. You will leave with the knowledge and confidence to tackle even the most difficult cloud challenges. Enroll today! Learn about AWS Databases & Compute for Data Engineers and become the cloud specialist that employers are looking for!

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  27. Data Privacy and Protection

    Data Privacy and Protection

    In this course, you’ll learn why data privacy matters. You’ll discover what private data is and how to distinguish it from other types of data. You’ll learn about key data privacy laws, regulations, and standards that apply to many organizations worldwide, and then you’ll explore what you need to do to keep private data private. This course includes a variety of instructional strategies to support effective learning. You will engage with interactive components such as case-based scenarios, one practice quiz and one graded quiz designed to reinforce your understanding and promote active participation. The course culminates in a final comprehensive quiz that reinforces key concepts and assesses your readiness to recognize, prevent, and respond to workplace cybersecurity threats.

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  28. Leadership & Management

    Leadership & Management

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course on leadership and management, you will gain essential insights into leading and managing teams effectively. You will explore key concepts such as trust-building, leadership styles, and operational management, all while understanding the distinction between leadership and management. By the end of this course, you'll be prepared to apply these principles to real-world situations, leading with confidence and consistency. The course begins with a deep dive into what it means to be an effective role model, evaluating consistency in leadership, and learning how to manage former peers. You’ll explore frameworks such as Maslow’s Hierarchy and Lencioni's Five Dysfunctions of a Team to understand what motivates employees and how to build strong team dynamics. Through this journey, you'll assess your leadership and managerial styles and refine your approach based on your strengths and weaknesses. Further, you’ll learn critical management techniques, such as managing employee absences and making crucial business decisions. With an emphasis on organizational culture, strategy, and ethics, you will be equipped with the tools to steer teams toward success. Understanding the roles of customers, stakeholders, and operational models will also help you deliver value to your organization. This course is ideal for individuals who aspire to develop their leadership and management capabilities, particularly those in management roles or aiming to step into one. There are no prerequisites, but some prior exposure to management or leadership concepts will be beneficial. The course is designed for both aspiring leaders and experienced managers looking to refine their skills.

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  29. Design & Evaluate Logistics Systems for Supply Chains

    Design & Evaluate Logistics Systems for Supply Chains

    This case-based course provides learners with an in-depth understanding of logistics and supply chain management through the lens of a real-world e-commerce implementation. Participants will identify foundational logistics principles, describe organizational strategy, analyze operational gaps, evaluate environmental and internal business factors, and implement core logistics functions. By the end of the course, learners will be able to assess the effectiveness and impact of logistics strategies through structured frameworks like IRIC, PESTLE, and Triad Analysis. Designed for professionals and students alike, this course bridges conceptual understanding with practical application, guiding learners through the phases of strategy, execution, and outcome evaluation. Emphasis is placed on critical thinking, structured planning, and performance analysis—core competencies required to build scalable, efficient, and sustainable logistics systems.

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  30. Image Editing Essentials

    Image Editing Essentials

    This short course empowers learners to edit images with precision and creativity using Photoshop on the web. Through hands-on practice, learners will explore essential techniques for cropping, color correction, lighting control, and final image prep. Whether you're editing for storytelling, branding, or personal projects, this course helps you build confidence and fluency in core photo editing workflows. Learners will also explore how AI-powered tools can support creative polish and non-destructive finishing techniques.

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  31. A Global History of Architecture

    A Global History of Architecture

    How do we understand architecture? One way of answering this question is by looking through the lens of history, beginning with First Societies and extending to the 16th century. This course in architectural history is not intended as a linear narrative, but rather aims to provide a more global view, by focusing on different architectural "moments." How did the introduction of iron in the ninth century BCE impact regional politics and the development of architecture? How did new religious formations, such as Buddhism and Hinduism, produce new architectural understandings? What were the architectural consequences of the changing political landscape in northern Italy in the 14th century? How did rock-cut architecture move across space and time from West Asia to India to Africa? How did the emergence of corn impact the rise of religious and temple construction in Mexico? Each lecture analyzes a particular architectural transformation arising from a dynamic cultural situation. Join us on a journey around the globe and learn how architecture has developed and interacted with the world’s culture, religion, and history.

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  32. Equity Research Report Writing: Analyze & Structure

    Equity Research Report Writing: Analyze & Structure

    By the end of this course, learners will be able to identify the types of sell-side research reports, apply data analysis effectively, structure arguments using the Minto Pyramid Principle, evaluate report quality, and design client-focused reports with clarity and impact. This program equips learners with the skills to analyze financial data, construct logical narratives, and communicate actionable insights tailored to professional audiences. Through a balance of foundational theory and case-based applications, participants will gain practical expertise in avoiding common pitfalls, adhering to industry standards, and enhancing readability with concise conclusions. The inclusion of real-world case studies makes the learning highly applicable and engaging, bridging the gap between theory and practice. What sets this course apart is its emphasis on both analytical rigor and communication clarity—two critical skills that define successful equity research analysts. Whether you are a beginner or seeking to refine your expertise, this course provides the essential tools to craft persuasive, standardized, and professional equity research reports that drive client decisions.

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  33. Infrastructure as a Service Training for Beginners

    Infrastructure as a Service Training for Beginners

    This Infrastructure as a Service (IaaS) course offers a structured path to mastering leading configuration management and provisioning tools—Ansible, Terraform, and Puppet. Begin with Ansible, understanding its role as a powerful pull configuration tool, exploring its architecture, playbooks, inventory, and enterprise features like Ansible Tower. Progress to Terraform, a widely adopted IaC tool used for automating cloud infrastructure across AWS, Azure, and GCP. Gain hands-on experience with Terraform commands, workflows, and provider integrations. Conclude with Puppet, where you’ll learn configuration management through real-world demos, writing manifests, understanding Puppet architecture, and exploring how companies use it at scale. To succeed, learners will have a basic understanding of cloud. By the end of this course, you will be able to: - Automate infrastructure with Ansible playbooks and Tower - Provision multi-cloud resources using Terraform - Manage configurations with Puppet and reusable manifests - Apply IaC tools to real-world DevOps workflows Ideal for DevOps engineers, system admins, & IT professionals.

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  34. Automating Kubernetes with GitOps

    Automating Kubernetes with GitOps

    Automating Kubernetes with GitOps is designed to teach you the key concepts on how to automate infrastructure using Gitops. It introduces core topics of DevOps, pipelines and Git and shows how to build images from code in an automated way. You will build on your knowledge of automating infrastructure using Terraform and Ansible and proceed with how to use GitOps operators in a Kubernetes environment and build a custom operator. Finally, you will also learn how to use operators provided by ecosystems, such as Tekton and Argo CD. Best-selling author and trainer Sander van Vugt uses real-world scenarios and demos throughout so you can see in real time how to use GitOps efficiently and effectively to manage Cloud Native applications.

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  35. Master Time Series Forecasting with R: Analyze & Predict

    Master Time Series Forecasting with R: Analyze & Predict

    By the end of this course, learners will be able to define the fundamentals of forecasting, classify forecasting methods, apply regression and decomposition techniques, and implement advanced models like ARIMA and SARIMA to accurately predict time-dependent data. This comprehensive course equips participants with the tools to tackle real-world forecasting challenges using R. Beginning with the foundations of business analytics forecasting, learners will explore methods, steps, and common pitfalls before moving into practical applications of simple forecasting models. The course then advances into regression-based forecasting, covering simple, multiple, and non-linear regression, while also integrating predictors and lagged variables for more reliable time series analysis. Finally, learners will gain hands-on expertise with exponential smoothing, ARIMA, and Seasonal ARIMA modeling, supported by ACF and PACF diagnostics. What makes this course unique is its step-by-step progression from basics to advanced forecasting, its practical use of R for implementation, and its focus on both interpretability and accuracy. By completing this program, learners will be prepared to design robust forecasting solutions that improve decision-making in business, finance, operations, and beyond.

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  36. Certified Ethical Hacker (CEH): Unit 7

    Certified Ethical Hacker (CEH): Unit 7

    This course covers cloud security and cryptographic practices. You will explore the dynamic world of cloud computing, gaining insights into common vulnerabilities, security assessment techniques, and strategies for safeguarding cloud-based assets. You will learn about cryptography, including encryption algorithms, cryptanalysis, and the critical role of cryptography in securing data both at rest and in transit. You will learn about the intersection of cloud computing and cryptography, including encryption methods used in cloud environments and emerging post-quantum cryptography algorithms. By the end of this course, you will be proficient in implementing security measures in cloud and cryptographic contexts.

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  37. Strategic Management Case Study: Analyze & Apply

    Strategic Management Case Study: Analyze & Apply

    By the end of this course, learners will be able to analyze organizational foundations, evaluate vision and mission statements, design strategic initiatives, and apply financial restructuring techniques to real-world contexts. Through a comprehensive case study, participants gain hands-on experience in aligning strategy with objectives, embedding transformation models, and interpreting profit-and-loss projections. This course benefits students, professionals, and executives seeking to strengthen their strategic thinking and leadership capabilities. Unlike traditional strategy courses, it emphasizes practical, case-based applications rather than theory alone. Learners will explore dynamic sales overhauls, operational revamps, and financial planning models that drive exponential growth. What makes this course unique is its integration of corporate restructuring, tactical execution, and financial forecasting within a single strategic framework. The end-to-end perspective ensures that participants not only understand how strategies are created but also how they are implemented, measured, and sustained in evolving business environments.

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  38. Houdini Cloth Simulation: Design & Animate FX

    Houdini Cloth Simulation: Design & Animate FX

    By the end of this course, learners will be able to design, animate, and optimize realistic cloth simulations in Houdini using procedural techniques, solver networks, and hybrid workflows. You will construct collision geometry, refine cloth attributes, integrate character assets, and implement advanced constraints to achieve production-ready results. Learners will also analyze solver parameters, apply wind and fracture effects, and blend rigid body dynamics with cloth for high-end VFX applications. This course uniquely combines step-by-step procedural workflows with practical FX demonstrations, ensuring that learners not only understand the theory but also build hands-on simulations used in professional pipelines. Unlike traditional tutorials, this program emphasizes hybrid cloth–RBD effects, solver customization, and character integration, which are essential for creating dynamic, realistic scenes in modern VFX and animation projects. Whether your goal is to work in film, gaming, or 3D animation, this course provides the technical foundation and creative confidence to bring cloth simulations to life in Houdini.

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  39. Computing in Python II: Control Structures

    Computing in Python II: Control Structures

    Building on your prior knowledge of variables and operators, this course gets into the meat of programming. Organized into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python. Conditionals let you modify what your program does based on the values of incoming variables. Loops let you repeat tasks for multiple values or while certain conditions hold true. Functions let you encapsulate complex reasoning into reusable chunks of code. Error handling lets you intelligently recover from anticipated and unanticipated glitches. By the end of this course, you'll be able to write complex programs in Python that perform useful reasoning. For example, you could write a program that calculates your weight on other planets, calculates the standard deviation of a series of numbers, or checks for the validity of an incoming password. Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos. In between those videos, you'll complete both multiple choice questions and coding problems to demonstrate your knowledge of the material that was just covered.

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  40. Computing in Python III: Data Structures

    Computing in Python III: Data Structures

    Build on your existing knowledge of conditionals, loops, and functions by studying more about complex Python data structures, including strings, lists, dictionaries, and file input and output. Organized into five chapters, this course starts by covering the basics of data structures, then moves on to these four common data structures in Python: Strings let you perform far more complex reasoning with text. Lists let you process long lists of data, and even lists of lists of data for more complex reasoning. Dictionaries let you more clearly code for complex types of data, and even simulate some basic elements of object-oriented programming. File input and output brings your programs to life, allowing you to persist data across executions of the same program. By the end of this course, you'll be able to write even more complex programs in Python that process and persist complex data structures. For example, you'll be able to write an ongoing gradebook application that tracks and updates your average over time, a program to calculate the net force based on several force magnitudes and directions, or a program that can turn a string like this into a StRiNg LiKe tHiS. Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos. In between those videos, you'll complete both multiple choice questions and coding problems to demonstrate your knowledge of the material that was just covered.

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  41. Computing in Python IV: Objects & Algorithms

    Computing in Python IV: Objects & Algorithms

    Complete your introductory knowledge of computer science with this final course on objects and algorithms. Now that you've learned about complex control structures and data structures, learn to develop programs that more intuitively leverage your natural understanding of problems through object-oriented programming. Then, learn to analyze the complexity and efficiency of these programs through algorithms. In addition, certify your broader knowledge of Introduction to Computing with a comprehensive exam. By the end of this course, you'll be able to write programs in Python that leverage your more natural understanding of data structures by creating objects to represent the structures you work with most often. For example, if you were creating a class roster application, you'll learn how to create an object representing a student's name, ID number, and attendance record. Then, you'll be able to create applications that leverage sorting and searching algorithms to sort that roster alphabetically, search for a particular student, and evaluate the efficiency of both those operations. Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos. In between those videos, you'll complete both multiple choice questions and coding problems to demonstrate your knowledge of the material that was just covered. These exercises count for 20% of your grade. Then, after each major chapter, you'll complete a problem set of collected, more challenging problems. These count for 40% of your grade. Finally, you'll complete a final course exam, which counts for the remaining 40% of your grade.

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  42. Cybersecurity Awareness

    Cybersecurity Awareness

    In this course, you’ll learn what cybersecurity is and why it’s important. Then, you’ll explore the most common types of cyberthreats, including ransomware and phishing emails, and ways to defend against them while working onsite or remotely. Finally, you’ll learn what to do if you experience a cyberattack. This course includes a variety of instructional strategies to support effective learning. You will engage with interactive components such as case-based scenarios, practice and graded quizzes designed to reinforce your understanding and promote active participation. The course culminates in a final comprehensive quiz that reinforces key concepts and assesses your readiness to recognize, prevent, and respond to workplace cybersecurity threats.

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  43. Traitement des données sans serveur avec Dataflow : cours 2

    Traitement des données sans serveur avec Dataflow : cours 2

    Dans ce deuxième volet de la série de cours sur Dataflow, nous allons nous intéresser de plus près au développement de pipelines à l'aide du SDK Beam. Nous allons commencer par passer en revue les concepts d'Apache Beam. Nous allons ensuite parler du traitement des données par flux à l'aide de fenêtres, de filigranes et de déclencheurs. Nous passerons ensuite aux options de sources et de récepteurs dans vos pipelines, aux schémas pour présenter vos données structurées, et nous verrons comment effectuer des transformations avec état à l'aide des API State et Timer. Nous aborderons ensuite les bonnes pratiques qui vous aideront à maximiser les performances de vos pipelines. Vers la fin du cours, nous présentons le langage SQL et les DataFrames pour représenter votre logique métier dans Beam, et nous expliquons comment développer des pipelines de manière itérative à l'aide des notebooks Beam.

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  44. Implementing Movement and Decision-Making Systems

    Implementing Movement and Decision-Making Systems

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive into the world of AI-driven vehicles and intelligent movement systems with this hands-on course. You will learn to program complex AI behaviors such as autonomous navigation, decision-making, and vehicle physics. The course covers topics like wheel physics, navigation meshes, finite state machines (FSMs), and autonomous movement patterns, empowering you to create dynamic, interactive agents that respond to their environment. The journey begins with vehicle physics, where you'll configure wheel colliders, apply forces, and set up a circuit with waypoints. Next, you’ll explore navigation meshes in Unity, optimizing AI movement through NavMesh agents and teaching characters how to follow and interact with players. The course also introduces the concept of finite state machines to structure your AI agents’ decision-making process, from patrolling to chasing and evading. This course is tailored for game developers looking to enhance their AI systems with advanced movement and decision-making capabilities. While it is ideal for intermediate learners, prior experience with Unity and basic programming concepts is recommended. By the end, you will have a deep understanding of how to implement autonomous agents in game environments and refine their behaviors for enhanced realism.

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  45. Corporate Brand and Reputation

    Corporate Brand and Reputation

    This course from Tuck Executive Education at Dartmouth provides an in-depth exploration into the essence of corporate branding and reputation, two pivotal facets of modern business strategy. Learners will differentiate between corporate and product brands, understand the complexities of brand architecture, and appreciate the symbiotic relationship between brand and people, especially within the context of social media engagement. The course will also dissect the significance of corporate reputation, providing learners with context and tools to value reputation, identify risks, and assess potential surprises that could impact the company's public perception. Learners will complete this course with practice in and resources for managing and safeguarding corporate brand and reputation, ensuring they can lead with confidence in the stewardship of these intangible yet invaluable assets. This course was designed to be the second in the Strategic Corporate Communication professional certificate. You will get the most out of the contents and assignments for this course if you complete it after Communicating Strategically and before Crisis Communication and Management, and Corporate Responsibility.

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  46. Deep Learning with R: Build & Predict Neural Networks

    Deep Learning with R: Build & Predict Neural Networks

    By completing this course, learners will be able to prepare datasets in R, apply statistical and visualization techniques, build regression models, and design, run, and evaluate neural networks. The course begins with data preparation essentials, including working with dataframes, descriptive statistics, and environment setup, ensuring learners can confidently manage their workflow. It then advances to data visualization, where learners generate line graphs, scatter plots, and advanced visualizations to interpret patterns and relationships. Regression modeling concepts are introduced to provide a solid predictive foundation. Finally, the course transitions to deep learning, guiding learners through dataset preparation, neural network coding, multilayer perceptron (MLP) architecture, and predictive testing. What makes this course unique is its balance of theory and hands-on application using R, a widely used tool in both academia and industry. Learners not only gain the technical skills to execute commands and build models but also develop the critical thinking needed to evaluate results in real-world contexts. Whether new to machine learning or seeking to expand into deep learning, this course provides a structured, practical pathway to mastering neural networks with R.

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  47. Red Hat Certified Engineer (RHCE) EX294: Unit 4

    Red Hat Certified Engineer (RHCE) EX294: Unit 4

    This course is designed for IT professionals aiming to validate their skills and knowledge in managing Red Hat Enterprise Linux systems. It offers a comprehensive sample exam that mirrors the structure and complexity of the actual RHCE test. You'll engage with multiple tasks that challenge your understanding and application of key concepts. Each task is accompanied by a sample lab solution, allowing you to verify your approach and explore alternative solutions. This hands-on practice is invaluable for solidifying your expertise and boosting your confidence. By the end of this course, you'll be well-prepared to tackle the RHCE exam.

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  48. Introduction to Data Science (Public Policy)

    Introduction to Data Science (Public Policy)

    Data is everywhere. From historical documents to literature and poems, diaries to political speeches, government documents, emails, text messages, social media, images, maps, cell phones, wearable sensors, parking meters, credit card transactions, Zoom, surveillance cameras. Combined with rapidly expanding computational power and increasingly sophisticated algorithms, we have an explosion of digital data around us. Privacy, ethics, surveillance, bias, discrimination are some of the obvious policy issues emanating from these data sources. But there is also incredible potential for better understanding the social world, and the potential to use data for good.In this course we will explore how data and digital material can be leveraged to have a better understanding of social issues. We will devote a substantial component of the course to explore the technical skills necessary to access and analyze data (aka programming in Python!), and best practices re: research design, and the practical knowledge we and others can produce using digital data and methods. By the end of the course you should be able to: 1. Know enough Python basics to qualify as, at a minimum, a novice programmer 2. List different types of digital data (e.g., delimited separated files, raw text, json), be able towrite Python code to input and process each type, and explain how and why you might use each data type in research 3. Write Python code to collect and structure digitized data, including from APIs, process the data, and produce visualizations and/or output to explore or analyze the data 4. Explain what the output from computational methods means, and derive a few insights about the social world from the output and visualizations 5. Feel comfortable learning new techniques and new Python libraries on your own

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  49. Human-Computer Interaction I: Fundamentals & Design Principles

    Human-Computer Interaction I: Fundamentals & Design Principles

    This course takes you through the first eight lessons of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online Master of Science in Computer Science program. In this course, you’ll take the first steps toward being a solid HCI practitioner and researcher. You’ll learn the fundamentals of how HCI relates to fields like user experience design, user interface design, human factors engineering, and psychology. You’ll also learn how human-computer interaction has influence across application domains like healthcare and education; technology development like virtual and augmented reality; and broader ideas like context-sensitive computing and information visualization. You’ll then dive into the fundamentals of human-computer interaction. You’ll learn three views of the user’s role in interface design: the behaviorist ‘processor’ view, the cognitivist ‘predictor’ view, and the situationist ‘participant’ view. You’ll discover how these different views of the user’s role affect the scope we use to evaluate interaction. These perspectives will be crucial as you move forward in designing interfaces to ensure you’re considering what goes on inside the user’s head, as well as in the environment around them. You’ll then learn the gulfs of execution and evaluation, which determine how easily the user can accomplish their goals in a system and how well they can understand the results of their actions. All of user interface design can be seen as taking steps to bridge these gulfs. You’ll also investigate the notion of direct manipulation, which shortens the distance between the user and the objects they are manipulating in the interface. With these tools, you’ll be well-equipped to start designing effective interfaces. You’ll then take a deeper dive into what humans are even capable of accomplishing. You’ll learn the limitations of human sensing and memory and how we must be aware of the cognitive load we introduce on the user while using our interfaces. Cognitive load can have an enormous impact on a user’s satisfaction with an interface, and must be kept in mind as you begin your career as a designer. You’ll finally conclude with an overview of the major design principles in human-computer interaction. Curated from the work of Don Norman, Jakob Nielsen, Ronald Mace, Larry Constantine, and Lucy Lockwood, these design principles cover revolutionary ideas in the design of interfaces: discoverability, affordances, perceptibility, constraints, error tolerance, and more. These principles are crucial whether you move forward as a designer, an evaluator, a front-end engineer, or any other role in technology design. By the end of the course, you’ll have an understanding of where HCI sits in the broader field, a grasp of the goals of HCI, and a foundation in core principles that inform interface design.

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  50. Making Science Reproducible - A Capstone Course

    Making Science Reproducible - A Capstone Course

    This course is for learners who have already taken previous courses in our Reproducible Research Workflows Specialization. It provides hands-on activities to allow students to test out the skills that they learned in the Specialization including the ITCR Training Network’s Reproducibility in Cancer Informatics, Advanced Reproducibility in Cancer Informatics, Containers for Scientists, and GitHub Automation for Scientists courses. This capstone course builds on these foundational concepts. Students of this specialization learn about version control, containerization, and automation to help make their research more transparent and reproducible. The activities in the capstone will cover: - Making and storing secrets on GitHub (using sensitive API keys, tokens, passwords in code securely) - Creating GitHub Actions (automating tasks including running and testing code such as for continuous integration and deployment) - Building Docker images (creating and sharing computing environments to run code) These activities will help students to create a computing environment that can be shared with others and used to test out code in your repositories on GitHub. Unique features of this course: - Provides hands-on exercises with evaluation to prove that learners were successful - Practical everyday tips - Troubleshooting tips - Links out to our other courses for more information The content will help learners to more reproducibly work with data for scientific research. Key Words Reproducibility, Containers, Version Control, GitHub Actions, Continuous Integration, Docker Intended Audience - The course is intended for researchers and research staff who might be interested in learning about best practices and skills for reproducible science. - Students should be comfortable with basic GitHub operations, including creating repositories, making commits, and opening pull requests before beginning this capstone. - The expectation is that learners will have taken the other prior suggested courses first (see above). Learning Objectives - Apply best practices for reproducibility - Create and implement an original Docker image - Create and store a GitHub secret - Create and test an original GitHub Action Accessibility We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/SzuZjct4ZQyt3Cos7. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/.

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  51. Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond

    Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond

    This course takes you through the last nine lessons of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online Master of Science in Computer Science program. In this final course in the professional certificate, you’ll complete your understanding of the design life cycle, and learn about the modern relevance of human-computer interaction. You’ll begin by learning about evaluation. This is the critical final step of the design life cycle, where we put our prototypes in front of real users (or strong approximations thereof) to get feedback on their quality. You’ll learn about three methods for evaluation: first, qualitative evaluation lets you get direct feedback on the strengths and weaknesses of your interface from real users. Second, quantitative evaluation lets you make strong claims about the effectiveness of your interface or the validity of your theories of interaction. Third, heuristic evaluation lets you inject evaluation much more completely into the design process, persistently putting yourself into the mindset of a user to investigate an interface. Then, you’ll learn how human-computer interaction relates to a modern trend in software development, Agile design. HCI and Agile development have a deep symbiosis in the way they each value rapid feedback. Moreover, modern technologies have allowed high-fidelity prototypes to be developed with the relative ease of low-fidelity prototypes in the past, allowing even better feedback and evaluation to come in throughout the design process. After wrapping up your understanding of the design life cycle and its iterative nature, you’ll turn your attention to a deeper dive into the modern state of human-computer interaction. You’ll have the chance to explore cutting-edge research in HCI, from technologies like extended reality to domains like cybersecurity to ideas like gesture-based interaction. HCI is a dynamic and evolving field, and any education it would not be complete without a chance to look at what’s happening today. Finally, you’ll conclude by looking at how far you’ve come and what you could do next. From other MOOCs to graduate degrees in the field, there are enormous possibilities for further studies in HCI. By the end of this course, you’ll have an understanding of the importance of evaluation in the design life cycle, as well as an understanding of where HCI sits in modern development and research.

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  52. Master Quality Models with CMMI: Analyze, Apply & Improve

    Master Quality Models with CMMI: Analyze, Apply & Improve

    By the end of this course, learners will be able to explain the foundations of Capability Maturity Model Integration (CMMI), differentiate between capability and maturity levels, apply generic goals and practices, analyze monitoring and control mechanisms, and evaluate advanced process areas for continuous organizational improvement. This comprehensive program provides a step-by-step journey through quality models, beginning with the history and framework of CMMI and advancing toward institutionalization, project management, and optimization. Learners will gain practical insights into requirements development, technical solutions, risk management, decision analysis, and organizational performance practices. Unlike traditional theory-heavy programs, this course integrates real-world scenarios with structured lessons, ensuring participants can apply concepts directly to organizational processes. What makes this course unique is its balance of foundational theory and advanced applications, coupled with structured quizzes, practical objectives, and Bloom’s Taxonomy-driven learning outcomes. Whether you are a quality manager, project leader, or aspiring professional, this course equips you with the knowledge to drive process excellence and achieve measurable improvements.

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  53. Certified Ethical Hacker (CEH): Unit 5

    Certified Ethical Hacker (CEH): Unit 5

    This course focuses on web application security. You will learn about hacking web servers and modern web applications, whether hosted on-premise or in the cloud. Gain expertise in exploiting and securing APIs, and learn to perform SQL injections to test application vulnerabilities. You will explore the OWASP Top 10 threats, understand web server attack methodologies, and implement effective countermeasures. You will learn how to bypass client-side controls, attack authentication mechanisms, and exploit vulnerabilities such as Cross-Site Scripting and SQL injection. By the end of this course, you will be able to identify, exploit, and secure web application vulnerabilities.

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  54. CSS: Design & Optimize Responsive Web Pages

    CSS: Design & Optimize Responsive Web Pages

    By the end of this course, learners will be able to apply CSS rules, style text and layouts, create responsive designs, and implement animations and transformations to build professional websites. They will gain the ability to analyze design requirements, implement structured page layouts, and evaluate CSS techniques for modern web development. This course begins with the fundamentals of CSS, covering its history, syntax, and rule structure. Learners will then explore selectors, text formatting, spacing, and layout basics to enhance readability and visual hierarchy. In the next stage, they will design navigation menus, tables, forms, and graphics while learning how to apply transforms and animations for interactive experiences. Finally, learners will master responsive design techniques, media queries, positioning, and best practices for building flexible, device-friendly websites. What makes this course unique is its step-by-step, modular approach that blends practical coding exercises with conceptual clarity. Whether you are a beginner or looking to sharpen your skills, this course equips you with the essential CSS expertise to design modern, engaging, and responsive web pages.

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  55. Organize Projects and Measure Productivity with Scrum

    Organize Projects and Measure Productivity with Scrum

    Learn the five essential Scrum events and how to measure team productivity effectively. You'll practice planning and executing Sprints, conducting Daily Scrums, Sprint Reviews, and Sprint Retrospectives that drive continuous improvement. This course teaches you to create detailed Sprint plans and backlogs, facilitate productive retrospectives, and use key Scrum tools including burndown charts, velocity tracking, and Kanban boards to visualize workflow and measure team performance for data-driven project decisions. By the end of this course, you will be able to: - Organize and execute the five key Scrum events including Sprint Planning, Daily Scrums, Sprint Reviews, and Sprint Retrospectives - Create comprehensive Sprint plans and Sprint backlogs while facilitating effective retrospectives for continuous team improvement - Measure team productivity and visualize project progress using burndown charts, velocity tracking, and Kanban boards for data-driven insights

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  56. Current Issues in Ethics and AI

    Current Issues in Ethics and AI

    Artificial intelligence, particularly with the introduction of generative AI, is fundamentally impacting a huge spectrum of human experience. This ranges from the vast majority of jobs and professions to education, healthcare, media and entertainment, and much more. These rapid advances have been accompanied by a huge array of fundamental and greatly impactful ethical challenges, including bias and inaccuracy in AI systems, where AI systems should and shouldn’t replace humans, and potential benefits and harms from various types of autonomous systems, and existential issues including the future of human work and the possibility of AI systems whose intelligence exceeds that of humans. This course provides students with a broad exposure to the ethical issues arising from AI, along with the experience and ethical tools to analyze them. It is intended to help students recognize and deal with these issues in their professional careers and their lives. It is based on a combination of current media articles and recent research papers, and is designed so that it can be kept current by refreshing the references it is based on. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder

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  57. Human-Computer Interaction II: Cognition, Context & Culture

    Human-Computer Interaction II: Cognition, Context & Culture

    This course takes you through lessons 9 through 13 of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online Master of Science in Computer Science program. In this course, you’ll expand the scope through which you view human-computer interaction. You’ll start by going further inside the user’s mind to understand the role of mental models in guiding a user’s interaction with your system. A good user interface designer understands the mental models of their users and how representations can be used to correct those mental models. You’ll then learn methods for breaking down user behavior into more objective, discernible, and measurable chunks. Through the principles of task analysis and with artifacts like GOMS models, you’ll discover how to take the often-ethereal patterns of human interaction and distill them into externalizable, manipulable chunks. You’ll also learn how to use these artifacts to inform the design and improvement of interfaces. You’ll then widen your view to look at the context in which your interfaces are deployed. You’ll begin by learning about distributed cognition, which includes the notion that humans may offload cognitive tasks onto interfaces, and that humans and interfaces together may be considered higher-level cognitive systems. You’ll also learn about theories for investigating interaction in context, such as activity theory and situated action, and the role that human improvisation plays in any interface we design. Through these lenses, you’ll be equipped to design not just user interfaces, but user experiences developed with an understanding of the context around the interaction. You’ll conclude by expanding your view even further to investigate how interfaces interact with society itself: both how society guides the interfaces we create, and how the interfaces we create affect society. You’ll learn how interface design can be used to address societal issues, but also how it can have danger unintentional side effects. By the end of the course, you’ll have a deeper understanding of how human cognition interacts with user interfaces, and how user interfaces in turn interact with the world. You’ll be able to design interfaces that consider what the user knows and what is going on around the user.

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  58. Certified Ethical Hacker (CEH): Unit 4

    Certified Ethical Hacker (CEH): Unit 4

    This course is covers network vulnerabilities and defense strategies. You will explore critical concepts such as sniffing, social engineering, denial-of-service attacks, and session hijacking. Gain hands-on experience in identifying and exploiting network weaknesses while learning to implement countermeasures. You will learn how to evade Intrusion Detection Systems (IDS), firewalls, and honeypots, and understand how these technologies are used to detect and mitigate cyber threats. By the end of this course, you will be equipped with advanced techniques to safeguard networks against cyber threats.

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  59. Human-Computer Interaction III: Ethics, Needfinding & Prototyping

    Human-Computer Interaction III: Ethics, Needfinding & Prototyping

    This course takes you through lessons 14 through 18 of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online Master of Science in Computer Science program. In this course, you’ll begin by learning the design life cycle. This is the process by which we investigate user needs, brainstorm potential designs, create prototypes, and evaluate those prototypes. This life cycle provides the structure for the third and fourth courses in this professional certificate. A key part of the design life cycle, however, is human subjects research. In interface design, this involves asking users for information about what they do and what they need, and then asking them for feedback on the prototypes that you develop. In HCI more broadly, this may involve testing different ideas with users to see what facilitates the best user experience. Whenever we interact with users, though, we need to keep in mind users’ rights to privacy and transparency, and so we begin this course with a discussion of ethics in HCI. This is grounded in the university Institutional Review Board process, but also investigates the role of ethics in HCI in industry as well. From there, you’ll move on to needfinding and requirements gathering. It is always tempting to jump straight into designing an interface based on our intuitive understanding of a task or need, but successful interface design always starts with an understanding of the users: who are they, what they do, and what they need. This involves both interacting directly with them via surveys and interviews, as well as observing them at a distance or even attempting the tasks ourselves. This concludes with an understanding of the requirements of any interface we create. From there, you’ll move on to brainstorming design alternatives. Again, it is often tempting to jump straight to the design we have in mind, but successful interface design starts with the results of needfinding and attempts a more grounded investigation of possible solutions. Through this lesson, you’ll learn techniques for managing effective brainstorming sessions and approaches to exploring the ideas that are created including artifacts like user personas, interaction timelines, and storyboards. Finally, you’ll conclude by learning about prototyping. Implementing an interface is a complicated process, and there is a risk that we may invest lots of time into an interface that is doomed to fail because we do not get user feedback on the idea. The goal of prototyping is to get an idea in front of users as quickly as possible to validate and improve it before we move on to the high pressures of implementation. By the end of this course, you’ll have an understanding of the design life cycle and its first three major stages: needfinding, brainstorming, and prototyping. You’ll also understand the ethical implications of HCI research and how to safeguard users’ rights.

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  60. Intro to Ruby on Rails

    Intro to Ruby on Rails

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Learn how to build dynamic web applications using the Ruby on Rails framework. You'll start by setting up the development environment and exploring Rails fundamentals like MVC, RESTful design, and validations. As you progress, you’ll dive deeper into advanced topics like authentication, testing, and deployment. By the end of the course, you'll be equipped to create a functional Ruby on Rails web application and deploy it online. The course is structured to take you through an introduction to the basics of Ruby on Rails, starting with the core features and setup processes. You'll be guided step-by-step in building a simple web app, progressing to more complex features like models, views, and controllers. You'll also gain hands-on experience implementing RESTful routes, adding static assets, and working with authentication tools like Devise. Testing and deployment processes are also covered, ensuring you're ready to launch your application. Throughout the course, you'll be guided through practical exercises, exploring both the theoretical aspects and real-world implementations of Ruby on Rails. You’ll finish by deploying your application on Heroku, making your project live and accessible. Whether you're new to web development or looking to enhance your skills, this course will help you master the fundamentals of Ruby on Rails. This course is ideal for aspiring web developers, especially those interested in using Ruby on Rails for building web applications. It requires some familiarity with basic programming concepts, but doesn’t require advanced knowledge of Ruby. If you're eager to learn Ruby on Rails and jump into web development, this course is perfect for you!

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  61. Econometrics - Theory and Practice

    Econometrics - Theory and Practice

    This course provides an introduction to econometrics, focusing on its scope, foundational concepts, and practical applications in analyzing economic relationships. Learners will begin by exploring the distinctions between economic models and econometric models, gaining an understanding of how theory and data intersect in empirical research. The course introduces regression analysis, starting with simple linear regression involving one dependent and one independent variable, enabling students to examine the nature and strength of relationships between economic variables. In addition to core econometric principles, learners will review essential statistical concepts such as individual, conditional, and joint probability distributions, as well as the concept of variable independence. These concepts form the basis for understanding how data behaves and how relationships among variables can be rigorously examined. A major focus will be on the general structure and assumptions of the linear regression model, which serves as a cornerstone in empirical economic analysis. Students will learn how to interpret coefficients, test hypotheses, and understand the conditions under which regression results are valid and meaningful.

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  62. Intermediate Python and Practical Skills

    Intermediate Python and Practical Skills

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you’ll advance your Python programming skills with a deep dive into essential concepts and practical applications. You will learn how to work with multi-module applications, explore performance measurement techniques, and master advanced function concepts like default arguments and lambda functions. The course focuses on optimizing your code and ensuring that it’s both readable and efficient. As you move forward, you’ll explore the power of Python's random module, develop applications that interact with external data through APIs, and handle file operations and exceptions gracefully. From mastering JSON data handling to understanding advanced file I/O, you'll develop the skills necessary to create robust and optimized Python applications for real-world scenarios. This course is perfect for those who have a basic understanding of Python and want to take their skills to the next level. It’s designed to provide hands-on practice with projects that involve web data, file manipulation, and API interactions, making it ideal for aspiring developers and data scientists. By the end of the course, you will be able to design complex Python applications using advanced features like multi-module structures, manage and manipulate JSON data, interact with external APIs, and handle errors and exceptions effectively in your programs.

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  63. Red Hat Certified Engineer (RHCE) EX294: Unit 3

    Red Hat Certified Engineer (RHCE) EX294: Unit 3

    This course builds on your foundational knowledge, guiding you through practical applications of Ansible in real-world scenarios. You'll learn to manage software installations, user accounts, and processes with precision and efficiency. Delve into the intricacies of storage management, mastering the creation and manipulation of partitions, mounts, and logical volumes. Explore network management with Ansible, gaining the ability to configure and optimize network settings seamlessly. Each lesson is complemented by hands-on labs, ensuring you gain practical experience and confidence in deploying Ansible solutions.

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  64. 中医汉语

    中医汉语

    Unlock the fascinating world of Traditional Chinese Medicine (TCM) through its language! This course takes you on a journey through 20 engaging modules, introducing 15 essential Chinese radicals and components that form the foundation of TCM characters—along with 40+ commonly used characters. Whether you're a student of Chinese medicine, a TCM enthusiast, or a Chinese language learner, this course will help you master key characters, understand fundamental terms, and explore the deep cultural roots of TCM. It will help strengthen your ability to read classical texts, recognize medical terminologies, and thus enhance your language skills as well as your understanding of Chinese medicine. What you'll gain: • Confidence in writing and pronouncing essential TCM characters. • A clear understanding of key TCM terms and their practical uses. • Improved ability to read and interpret classical medical texts. • A deeper appreciation of TCM culture and its rich traditions. No matter your starting point, this course will guide you step by step, making Chinese characters in TCM more accessible and meaningful. Ready to dive in? Let’s get started!

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  65. Cisco Software-Defined Wan for Enterprise & Cloud: Unit 5

    Cisco Software-Defined Wan for Enterprise & Cloud: Unit 5

    This course provides a detailed exploration of SD-WAN deployment and management strategies, focusing on seamless integration into existing environments. You'll learn effective migration techniques for transitioning brownfield branch sites to SD-WAN, emphasizing the strategic placement of edge devices in centralized locations like data centers and Colo facilities. Additionally, gain insights into Cisco's innovative approach to edge device configuration management, including the use of config groups, feature profiles, and feature parcels. By the end of this course, you'll be equipped with the skills to efficiently deploy, manage, and optimize SD-WAN solutions.

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  66. Ask Effective Questions

    Ask Effective Questions

    In this course, you'll learn about problem solving in data analysis through real-world scenarios. You’ll explore the phases of data analysis and the problem types that data analysts face. You’ll also learn how to ask effective questions to guide data analysis. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks. By the end of this course, you will be able to: - Explore problem solving in data analysis through a variety of real-world business scenarios - Describe the six phases of the data analysis process - Identify the common problem types that data analysts face - Practice effective questioning techniques that can help guide analysis

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  67. Red Hat Certified Engineer (RHCE) EX294: Unit 2

    Red Hat Certified Engineer (RHCE) EX294: Unit 2

    This course delves into advanced topics, starting with task control techniques that enhance your ability to manage complex workflows. You'll learn to deploy configurations using Jinja2 templates, enabling dynamic and flexible automation scripts. Discover the power of Ansible roles and rail system roles to streamline your playbook management and reuse solutions efficiently. Our comprehensive troubleshooting module will equip you with the skills to diagnose and resolve issues swiftly, ensuring your automation processes run smoothly. With hands-on labs accompanying each lesson, you'll gain practical experience and confidence to implement advanced Ansible features in real-world scenarios.

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  68. Model Armor: KI-Bereitstellungen absichern

    Model Armor: KI-Bereitstellungen absichern

    In diesem Kurs werden die wichtigsten Sicherheitsfunktionen von Model Armor vorgestellt. Außerdem lernen Sie, wie Sie den Dienst nutzen können. Sie erfahren mehr über die Sicherheitsrisiken, die mit LLMs verbunden sind, und wie Model Armor Ihre KI-Anwendungen schützt.

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  69. Junos Fundamentals: JNCIA-Junos Certification Guide

    Junos Fundamentals: JNCIA-Junos Certification Guide

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Prepare yourself for the JNCIA-Junos certification with a comprehensive understanding of networking and Junos OS fundamentals. You will dive into networking concepts such as IPv4, IPv6 addressing, routing, and TCP/UDP protocols, building a solid foundation for more advanced topics. The course also covers Junos OS fundamentals, including its software architecture, traffic processing, and control and forwarding planes, offering a complete understanding of how Juniper devices function. As you advance, you'll learn about Junos user interfaces, CLI commands, and J-Web configuration tools. Through hands-on experience with initial configurations, device interfaces, and troubleshooting techniques, you'll become proficient in managing Juniper devices. You'll also master routing policies and firewall filters, ensuring you can securely configure and maintain networks. By the end of this course, you’ll be fully prepared to apply these skills professionally and confidently pass the JNCIA-Junos exam. This course is ideal for aspiring network professionals, system administrators, or anyone aiming to achieve the JNCIA-Junos certification. With no prior experience required, the course is beginner-friendly and designed to equip you with both theoretical knowledge and practical skills for real-world networking environments.

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  70. Master Decision Trees in R: Build, Predict & Evaluate

    Master Decision Trees in R: Build, Predict & Evaluate

    By the end of this course, learners will build, interpret, and evaluate decision tree models in R for both classification and regression tasks. They will gain hands-on skills in data preprocessing, feature engineering, and model training, while applying predictive techniques to real-world datasets including advertisements, diabetes outcomes, Caeseats sales, and bank loan defaults. Through step-by-step coding practices, learners will implement decision tree algorithms using R packages like rpart and tree, visualize results, and evaluate performance with tools such as the confusion matrix. They will also learn to generate actionable insights for decision-making, with a particular emphasis on financial risk management applications. This course is uniquely designed to bridge theory with practice, combining structured progression for beginners with advanced applications for intermediate learners. By completing it, participants will not only master supervised learning with decision trees but also confidently apply their models to real-world business and financial scenarios, strengthening both their machine learning expertise and analytical decision-making skills.

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  71. Master TQM and Six Sigma: Build Quality, Reduce Errors

    Master TQM and Six Sigma: Build Quality, Reduce Errors

    By the end of this course, learners will be able to analyze quality culture, apply customer-centric strategies, implement CRM practices, evaluate quality assurance systems, and apply Six Sigma methodologies to achieve operational excellence. This course empowers professionals to decrease errors, increase profitability, and assure long-term quality by mastering the principles of Total Quality Management (TQM). Learners will explore how to build a quality-first culture, adopt customer-focused practices, and leverage CRM strategies to strengthen customer relationships. They will also gain hands-on understanding of the PDCA cycle, quality assurance processes, and production planning and control (PPC) techniques to optimize operations. Finally, the course integrates Six Sigma tools and the DMAIC framework to enable data-driven decisions and sustainable process improvements. What makes this course unique is its end-to-end approach, combining foundational quality culture with practical tools like CRM, PPC, and Six Sigma in one program. Designed for managers, quality specialists, and business leaders, this course provides actionable insights to align mission, vision, and strategy with customer satisfaction and operational efficiency.

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  72. AWS Security, Logging & DevOps for Data Engineers

    AWS Security, Logging & DevOps for Data Engineers

    The future of data engineering lies in building secure, scalable, and automated cloud solutions—and this course helps you master exactly that. AWS Security, Logging & DevOps is the data professional's guide to securing data pipelines, optimizing costs, and maintaining the productivity of data engineers using AWS services. From VPC, Route 53, and CloudFront to IAM, MFA, and KMS, you will learn how to build secure environments by default. You'll also get hands-on experience monitoring with CloudWatch, CloudTrail, and Config, as well as DevOps automation using CodeCommit, CodeBuild, CodeDeploy, CodePipeline, and CloudFormation. With demos, videos, and quizzes—it's not just theory; every concept is demonstrated in practice. You'll learn more than the basics— including how to protect data with encryption, Amazon Macie, and secrets management, as well as achieve ML integration with SageMaker—and become highly proficient on the job market. Whether you're a beginner or seasoned pro, this course falls in line with AWS certification paths and simply paves the way for high-demand careers that include cloud, DevOps, and data engineering. Enroll now and transform your AWS skills into career success.

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  73. Introduction to GenAI for Business Process Automation

    Introduction to GenAI for Business Process Automation

    Generative AI is reshaping how modern businesses automate tasks and improve efficiency. This course will teach you how to design and implement AI-powered automations using practical, hands-on approaches. Whether you’re new to automation or looking to sharpen your skills, you’ll gain the foundational knowledge needed to identify automation opportunities and build simple AI-enabled workflows. You’ll explore essential concepts such as prompt engineering, workflow analysis, and tool selection—key skills for anyone aiming to integrate generative AI into day-to-day operations. Through guided examples, you’ll learn how to translate business needs into clear prompts and design automation strategies that reduce manual effort and support productivity. No coding or prior AI experience is required. This course is suitable for professionals across industries who want to harness the power of AI in their teams or organizations. By the end of this course, you’ll be ready to apply what you’ve learned to real-world scenarios and take the first step toward smarter, faster, AI-assisted workflows. Enroll now to build your automation skills and future-proof your career.

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  74. Hands-On with GenAI Tools and Technologies

    Hands-On with GenAI Tools and Technologies

    In this beginner level course on Generative AI, we take a closer look at popular tools and technologies such as GPT-4, DALL-E, and Stable Diffusion, alongside basic hands-on guidance for their configuration and use. This course aims to deepen understanding of each tool's unique capabilities and ease of usage. Learners will achieve proficiency in employing these tools for various creative tasks and will be able to compare GenAI solutions for solving real-world problems. By the end of this course, you’ll be able to: • Demonstrate basic proficiency in configuring and utilizing various generative AI tools. • Highlight features, capabilities, and use cases of different generative AI technologies, analyzing their effectiveness in specific contexts, using criteria such as ease of use, output quality, and versatility. • Synthesize best practices for integrating generative AI into workflows.

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  75. The Art of Film Editing: Foundations of Editing

    The Art of Film Editing: Foundations of Editing

    By the end of this course, taught by Baudilio Perez, you’ll be able to confidently set up and organize projects in Adobe Premiere Pro, build sequences, and apply the core editing principles that shape professional film and video projects. You’ll learn the language of editing—rhythm, ellipsis, timing, and transitions—and practice bringing raw footage to life through deliberate choices that strengthen storytelling. This course is designed for aspiring filmmakers, content creators, and editors who already understand basic video concepts like resolution, frame rates, and file formats. To be successful, you should have Adobe Premiere Pro installed and some familiarity with shooting or editing video, even at a beginner level. What makes this course unique is its balance of theory and practice. You won’t just learn which buttons to press—you’ll study how images, scripts, and edits come together to create cinematic meaning. Through exercises based on short films, commercials, and music videos, you’ll master foundational tools like keyframes, blend modes, text editing, and exports, preparing you to approach any editing project with confidence and artistry. *Please note: Adobe Premiere Pro software is required to complete this course Instructor bio: Baudilio Perez is a director, actor, and film score composer with a passion for storytelling through cinema. He holds degrees from the National Experimental University of the Arts in Venezuela, the Superior School of Film and Audiovisuals in Catalonia, and the Autonomous University of Barcelona. Baudilio has taken on multiple roles in his projects—director, screenwriter, actor, producer, and composer—allowing him to connect deeply with disciplines like painting, music, acting, and documentary filmmaking. His work focuses on historical cinema and creating immersive soundtracks, always driven by collaboration and the passion to bring meaningful stories to life.

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  76. Introducción a Cloud Next Generation Firewall

    Introducción a Cloud Next Generation Firewall

    En este curso de capacitación, se presenta Cloud NGFW. Los temas que se incluyen son cómo Cloud NGFW proporciona administración y visibilidad centralizada de firewalls, protección avanzada contra amenazas y estadísticas de firewalls.

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  77. Advanced Data Visualization with Matplotlib Mastery

    Advanced Data Visualization with Matplotlib Mastery

    This advanced-level course equips learners with the skills to design, customize, and interpret complex data visualizations using Matplotlib. Through a structured progression from foundational customization techniques to specialized plotting methods, learners will explore paths, transformations, colors, colormaps, text rendering, annotations, axes customization, and 3D visualization. Starting with advanced path and transformation features, participants will apply precision control over plot structure and aesthetics. They will then evaluate and select optimal colormaps and scaling strategies to represent diverse datasets effectively. The course further enables learners to integrate advanced annotation techniques and Axes Artist functionalities to enhance plot clarity and context. In the final modules, learners will construct dynamic 3D plots and specialized visuals to communicate complex, multi-dimensional information. By the end of this course, learners will be able to create, modify, and optimize publication-quality visualizations tailored to their analytical needs, ensuring both accuracy and visual impact.

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  78. The Complete Scrum Master Certification & Agile Scrum Course

    The Complete Scrum Master Certification & Agile Scrum Course

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will gain a solid foundation in Scrum and Agile principles, along with the preparation necessary to become a certified Scrum Master. By the end, you will understand key concepts such as Scrum events, roles, accountabilities, and artifacts. Additionally, you will dive deep into the Scrum Master’s role, ensuring you’re equipped with practical skills and insights to apply Scrum in real-world settings. The course will guide you through the intricacies of Scrum, from its origins to the latest advancements, with a special emphasis on real-life scenarios and practical applications. As you progress, you’ll gain in-depth knowledge of Scrum Team accountabilities, including the critical roles of the Product Owner, Developers, and Scrum Master. You'll also explore Scrum events, ensuring you understand the significance of Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective. The course also offers practical examples and case studies to solidify your learning, providing you with the tools to navigate complex scenarios within Agile teams. This course is ideal for aspiring Scrum Masters, Agile Coaches, and anyone involved in the Agile transformation of their organization. It covers both foundational and advanced topics and prepares you for the Scrum Master certification exam. Whether you are new to Scrum or looking to refresh your skills, this course will help you develop a deep, practical understanding of Scrum practices.

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  79. Talend Data Integration: Build & Automate Workflows

    Talend Data Integration: Build & Automate Workflows

    Learners will be able to install Talend Data Integration Studio, create and execute jobs, connect to databases, filter data, and implement advanced components like TMap, TJoin, and TFilter to solve real-world ETL challenges. This beginner-friendly course provides a step-by-step journey from setup to advanced data integration workflows. By completing the course, learners will gain practical, hands-on experience in managing data from multiple sources, applying best practices in job design, and building efficient workflows for database operations. Each module is designed to build confidence progressively—from simple “Hello World” jobs to complex transformations—ensuring learners master both foundational and advanced concepts. What makes this course unique is its clear structure, project-based demonstrations, and a focus on real-world use cases that bridge theory with practice. Learners will not only understand Talend’s core components but also be able to apply them in professional scenarios, making them job-ready for ETL and data integration roles.

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  80. Oracle PL/SQL Subprograms: Design, Apply & Optimize

    Oracle PL/SQL Subprograms: Design, Apply & Optimize

    By the end of this course, learners will be able to differentiate system and object privileges, apply debugging techniques, design and implement PL/SQL packages, utilize Oracle-supplied utilities, and manipulate large objects (LOBs) effectively. This comprehensive course empowers database professionals to move beyond basic SQL and harness the full power of PL/SQL subprograms. Through structured modules, learners will analyze core privileges, create modular packages, apply overloading and forward declarations, and manage persistent states in PL/SQL applications. They will also evaluate and implement Oracle-supplied packages such as DBMS_SQL, DBMS_OUTPUT, DBMS_JOB, and UTL_FILE to automate tasks, integrate with web services, and debug applications. Finally, the course dives deep into LOBs and BFILEs, enabling learners to store, read, write, and optimize large data efficiently. Unlike generic PL/SQL courses, this program emphasizes real-world application and optimization with practical examples and Oracle-supplied tools that professionals use daily. Learners will leave with the confidence to design scalable, maintainable, and high-performing PL/SQL solutions for enterprise systems.

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  81. Practical Windows PowerShell Scripting: Unit 2

    Practical Windows PowerShell Scripting: Unit 2

    This course is designed to guide you from the basics of script creation to advanced automation techniques. Starting with foundational scripting skills, you'll learn how to build and configure PowerShell scripts, create functions, and manage errors effectively. As you progress, you'll delve into more complex concepts like variable management, loop creation, and output sorting, enhancing the functionality and efficiency of your scripts. By the end of the course, you'll be equipped to automate script execution, generate alerts, and apply best practices in PowerShell scripting, empowering you to monitor and manage your network effortlessly.

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  82. Loops and Strings

    Loops and Strings

    In this course, you'll explore loops, which repeat a portion of code until a process is complete. You’ll learn how to work with different kinds of iterative or repeating code, such as for loops and while loops. Then, you'll explore strings, which are sequences of characters like letters or punctuation marks. You’ll learn how to manipulate strings by indexing, slicing, and formatting them. By the end of this course, you will be able to: • Describe how to manipulate strings using techniques such as concatenating, indexing, slicing, and formatting • Summarize the syntax of the range() function • Explain the purpose and logic of iterative statements such as for loops and while loops

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  83. AI & Innovation with Hila Lifshitz-Assaf

    AI & Innovation with Hila Lifshitz-Assaf

    Learn how to integrate AI in your organization and promote innovation, and dive into exploring the impact of AI on innovation, decision-making, and research and development processes. In this 100% online, 2-hour course, Hila Lifshitz-Assaf, Professor at Warwick Business School and AI Innovation expert will explore the strategies to position your organization at the forefront of a world increasingly intertwined with AI. Keywords: Artificial Intelligence Artificial Intelligence Strategy Technology Business Strategy Future Trends Digital Transformation Innovation Data Generative AI AI Deveolpment and Integration

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  84. CompTIA Cloud CV0-003: Unit 9

    CompTIA Cloud CV0-003: Unit 9

    This course , featuring a single comprehensive lesson, is tailored to reinforce your understanding of fundamental cloud concepts and their application in real-world scenarios. You will learn how to effectively utilize exam objectives and practice questions to solidify your knowledge. We will walk you through a practice question, demonstrating how to systematically eliminate incorrect answers to hone your problem-solving skills. Additionally, you will be introduced to CompTIA Cert Master products, which offer hands-on experience and further preparation to boost your confidence for the certification exam. This course is perfect for learners eager to consolidate their cloud expertise and achieve certification success.

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  85. Manager of Managers: Crafting Your Leader’s Checklist

    Manager of Managers: Crafting Your Leader’s Checklist

    Great leadership doesn't happen by chance—it happens by design. This course helps you create and evolve a personalized leadership checklist that keeps you focused on what matters most. You'll learn the core components of an effective checklist, from daily practices to strategic responsibilities, and how to structure them for clarity and action. Through practical tools, case examples, and hands-on activities, you'll build a Version 1 of your leadership checklist, test it against real challenges, and refine it as your role evolves.

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  86. AI Strategy with Andrew McAfee

    AI Strategy with Andrew McAfee

    Discover how AI is shaping the future and revolutionizing industries and explore its profound impact on businesses, society, and the global economy. Don't miss this exclusive opportunity to learn how to use the transformative power of Artificial Intelligence! In this 100% online, 2-hour course, Andrew McAfee, principal research scientist at MIT and co-founder of MIT’s Initiative on the Digital Economy, will delve into how to effectively integrate Artificial Intelligence into your business's core strategy. Keywords: Artificial Intelligence Artificial Intelligence Strategy Technology Business Strategy Future Trends Digital Transformation Innovation Agility Generative AI AI Deveolpment and Integration

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  87. Brainstorming Specialist (Accredited)

    Brainstorming Specialist (Accredited)

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock your potential as a master brainstormer with this comprehensive course designed to enhance your problem-solving skills and foster creativity. You will be guided through essential brainstorming principles, techniques, and tools that are crucial for idea generation and decision-making. Whether you're tackling complex challenges or simply seeking fresh ideas, this course empowers you to lead brainstorming sessions with confidence. Throughout the course, you’ll explore practical methods such as mind mapping, brainwriting, and classic group brainstorming. You’ll gain hands-on experience by participating in team exercises and critical discussions, refining your ability to evaluate and organize ideas effectively. By the end, you'll be equipped to facilitate your own sessions using the tools and techniques learned. This course is ideal for professionals in leadership, project management, and creative roles looking to sharpen their brainstorming skills. It is open to anyone eager to lead and collaborate more effectively in group settings. No prior expertise is required, making it accessible to beginners. By the end of the course, you will be able to effectively facilitate brainstorming sessions, apply divergent and convergent thinking techniques, utilize physical and digital tools, and lead your team to creative solutions in any challenging scenario.

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  88. Certified Ethical Hacker (CEH): Unit 2

    Certified Ethical Hacker (CEH): Unit 2

    This course focuses on information gathering and vulnerability identification. You will explore the essential techniques of footprinting, scanning networks, and enumeration. Learn how to gather comprehensive data on target systems using both passive and active methods, and develop a keen understanding of network structures and live hosts. You'll explore the use of advanced tools like Shodan, Maltego, and Recon-NG, for extracting critical information such as usernames, machine names, and network resources. By the end of this course, you will be equipped with the skills to conduct thorough reconnaissance.

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  89. Listening and Engagement on Social Media

    Listening and Engagement on Social Media

    In this course, you will focus on listening and engagement in the context of social media marketing. You’ll learn the importance of social listening and how to use popular social listening tools. Then, you’ll explore ways to develop relationships with customers and build brand authority. By the end of this course, you will be able to: - Define social listening and discuss why it’s important - Introduce popular social listening tools and how to use them - Provide tips for effective social listening - Understand how to boost engagement on social media - Discuss how to communicate and develop relationships with customers - Discuss how to respond to different types of customer communication on social media - Understand how to write, design, and repurpose engaging content for social media - Describe how to develop a brand voice on social media

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  90. Configuring and Managing Security Operations in Azure

    Configuring and Managing Security Operations in Azure

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Take control of your cloud security posture with this comprehensive course on configuring and managing security operations in Microsoft Azure. You’ll gain the expertise to enforce security policies, automate threat responses, and monitor hybrid and multi-cloud environments effectively. The course begins with foundational elements like Azure Policy, Blueprints, and Key Vaults, followed by advanced configurations using Dedicated HSMs and secure key management. You’ll learn to remediate risks using Microsoft Defender for Cloud and integrate industry compliance standards. Later, you'll explore Microsoft Sentinel, automate incident responses, evaluate alerts, and create custom analytics rules. Hands-on modules help you master tools like Azure Monitor, Logic Apps, and vulnerability scanning across diverse environments. This course is ideal for security analysts, cloud engineers, and IT professionals responsible for cloud security operations. Prior Azure experience and familiarity with basic security principles are recommended. This course is best suited for intermediate learners.

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  91. AWS Data Automation: Glue & Lambda Integration

    AWS Data Automation: Glue & Lambda Integration

    Data automation is essential for modern cloud computing, and AWS Glue simplifies ETL processes, data cataloging, and integration with serverless services like AWS Lambda. You will gain hands-on experience in configuring AWS Glue, optimizing ETL pipelines, and triggering workflows with Lambda, enabling learners to create efficient and automated data solutions. This course introduces AWS Glue and its powerful ETL capabilities, including how to crawl data sources, build a centralized data catalog, and transform raw data into structured formats for analytics. Using a practical example with customer and order datasets, you'll learn how to create and schedule ETL jobs that clean, standardize, and organize this data for downstream reporting. The course then shifts to AWS Lambda, where you’ll build serverless functions, configure event-based triggers (like when a new order file is uploaded to an S3 bucket), and integrate them with Glue to automate data workflows in real time. Through hands-on exercises and projects—including building an ETL job and setting up an incremental data loading pipeline into Amazon Redshift—you’ll gain the skills to design, deploy, and manage robust, cloud-native data pipelines using AWS services. This course is designed for data analysts and data engineers who are responsible for creating, managing, and optimizing data pipelines. It also serves IT professionals aiming to enhance their skills in automated data processing using modern cloud tools. Additionally, AWS newcomers interested in building foundational knowledge of cloud-based data workflows will find this course an accessible and practical starting point. Whether you work in a startup or an enterprise setting, the skills taught here are applicable across industries that rely on cloud-based data automation. To succeed in this course, learners should have a basic understanding of data-related concepts such as databases, structured data, and ETL (Extract, Transform, Load) processes. Familiarity with general cloud computing terminology and principles is also expected. However, no prior experience with AWS Glue, Lambda, or programming is required, making this course beginner-friendly and approachable for a wide range of learners. Anyone with a foundational understanding of data systems will be well-equipped to follow along with the hands-on exercises and examples. By the end of the course, learners will be able to describe the core features and architecture of AWS Glue as it relates to data integration. They will analyze how Glue enhances ETL operations and centralizes data cataloging. Learners will also gain the ability to design simple workflows that integrate AWS Glue with Lambda functions and evaluate best practices for implementing these tools effectively and responsibly within a cloud data ecosystem. These skills will empower learners to automate data workflows, reduce manual processing, and build scalable solutions using AWS services.

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  92. Practical AI and prompting for marketing professionals

    Practical AI and prompting for marketing professionals

    Welcome to the “Practical AI and prompting for marketing professionals” — a unique, hands-on course designed to help you get practically trained on various job-specific AI use cases and technologies across various modalities. You will discover AI-powered tools to enhance your daily tasks, gaining immediate hands-on experience. You will: - Intensively practice and apply AI-driven marketing -specific use cases—making AI a daily companion in your workflows and daily job routines. - Start to use AI technologies into your daily sales activities with hands-on exercises in interactive playgrounds and sandbox environments, increasing your confidence to experiment, iterate, and optimize AI-driven tools and technologies right in the course. - Master prompting techniques & discover prompting libraries for different Generative AI models for example, to craft high-impact marketing campaigns, compelling brand messaging, and persuasive communications—unlocking new ways to engage audiences and drive conversions. - Get inspired by participating in a project to conceptualize a personalized AI use case for your job role. Welcome to the unique “Practical AI and prompting for marketing professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.

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  93. Power Platform Integration with Azure & Custom APIs

    Power Platform Integration with Azure & Custom APIs

    This course teaches how to extend the capabilities of Microsoft Power Platform by integrating with external systems, building advanced user experiences, and applying enterprise-grade deployment practices. Designed for developers preparing for PL-400 certification, it focuses on custom connectors, Azure integration, PCF controls, ALM, and DevOps. You’ll begin by creating custom connectors using OpenAPI or Postman, and integrating Power Platform apps with SharePoint, Outlook, and Microsoft 365 services. You'll then use Copilot Studio to automate tasks with conversational bots that trigger Power Automate flows. Next, you’ll dive into user interface customization with Power Apps Component Framework (PCF), enabling rich controls and responsive layouts. You'll also build apps that work offline and use mobile device features like camera, GPS, and barcode scanning. Finally, you’ll manage solutions using Power Platform Pipelines and apply Application Lifecycle Management (ALM) practices across environments. From deployment stages to role-based access, you’ll automate and monitor enterprise apps with DevOps strategies. By the end of this course, you will be able to: - Build scalable integrations with APIs and Microsoft services - Create advanced UI and mobile-ready Power Apps using PCF - Automate tasks with Copilot Studio bots and Power Automate - Apply ALM and DevOps practices to manage full app lifecycles This course is ideal for Power Platform developers and solution architects looking to integrate with enterprise systems and automate deployments. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Microsoft corporation or any of its subsidiaries or affiliates. This course is not an official preparation material of Microsoft corporation. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.

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  94. Core Apple Device Admin: iOS, macOS, & MDM Essentials

    Core Apple Device Admin: iOS, macOS, & MDM Essentials

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Become proficient in managing Apple devices, from iOS to macOS, and get hands-on with the tools and practices used by professionals in Apple Device Administration. This course will introduce you to the key concepts of device management, troubleshooting, security, and device configuration, covering both individual devices and large-scale enterprise management. Upon completion, you will understand how to implement solutions for device deployment, security enforcement, and recovery. The course begins by familiarizing you with the current state of Apple platforms and their ecosystem, preparing you for the deep dive into device management tools. You'll then explore iOS management basics, including hardware troubleshooting, privacy settings, and network configurations. It also delves into macOS client management, security, file system configurations, and the use of Apple Remote Desktop and MDM solutions to efficiently manage multiple devices. You will also gain proficiency in Apple Business Manager and Mobile Device Management (MDM) solutions, and you’ll master Mosyle MDM to automate the management of devices in your organization. This course is ideal for IT professionals, system administrators, and tech enthusiasts looking to specialize in managing Apple devices in business or educational settings. No prior experience with Apple device management is required, although familiarity with general IT concepts is beneficial. The course covers both fundamental and advanced topics, offering a comprehensive learning experience for beginners and intermediate learners.

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  95. Web3 Development for Beginners - No Coding Skills Required

    Web3 Development for Beginners - No Coding Skills Required

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll embark on a journey into the world of Web3 development without needing any prior coding experience. You'll gain a solid understanding of the key principles behind blockchain technology, smart contracts, and decentralized applications (DApps), all while learning the programming fundamentals required to build Web3 projects. Through hands-on exercises and real-world examples, you'll be empowered to develop decentralized applications and deploy smart contracts to the Ethereum blockchain. As you progress, the course will guide you step-by-step through core topics, such as understanding blockchain mechanics, learning programming basics with NodeJS and JavaScript, and exploring key blockchain concepts like ERC20 tokens and NFTs. You'll also dive deeper into Ethereum's architecture, how to use tools like Etherscan and wallets, and the fundamentals of blockchain economics. The course will cover the complete lifecycle of building blockchain projects, from setting up the tools to deploying and connecting smart contracts with real-world websites. This course is designed for anyone curious about Web3 technology, especially those new to programming and blockchain. It's perfect for beginners with no prior coding experience, looking to understand and develop Web3 applications. The difficulty level is beginner, making it accessible and rewarding for anyone interested in entering the blockchain and decentralized technology space. By the end of the course, you will be able to develop your own decentralized applications, deploy ERC20 tokens and NFTs, connect smart contracts to real-world websites, and understand the principles of blockchain economics. You will also be equipped with the knowledge and tools needed to start your journey as a blockchain developer.

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  96. Certified Ethical Hacker (CEH): Unit 1

    Certified Ethical Hacker (CEH): Unit 1

    This course is covers information security and ethical hacking. You'll learn the core principles of cybersecurity, exploring the critical differences between information security and cybersecurity operations. Gain insights into the cyber kill chain and ethical hacking methodologies, and learn to navigate the complexities of security laws and standards. You will aquire skills to plan and scope penetration testing assessments effectively. By the end of this course, you will be prepared to apply ethical hacking practices to safeguard digital environments.

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  97. Blender Geometry Nodes – Procedural Bridge Basics

    Blender Geometry Nodes – Procedural Bridge Basics

    This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this hands-on course, you will dive into Blender’s Geometry Nodes and learn how to create a fully procedural bridge generator from scratch. You’ll master the fundamentals of procedural design, learning how to manipulate curves, generate stones, and add custom shapes. By the end, you’ll have a deep understanding of how to use Geometry Nodes to craft complex structures like bridges and stone paths, all with ease. You will start with the basics of creating curve-based bridges, learning how to shape and design the bridge’s profile. The course will guide you through more advanced steps, including adding custom holes and shapes to enhance your design. You’ll also explore how to create and align procedural stone paths along the bridge, finishing with efficient UV unwrapping for texture mapping. Through each video, you’ll gradually build your bridge, culminating in a beautiful procedural asset. This course is ideal for beginners looking to explore procedural modeling in Blender, specifically using Geometry Nodes. Whether you are new to Blender or to the world of procedural design, this course will guide you through the entire process, with no prior knowledge of Geometry Nodes required. The difficulty level is beginner, making this course accessible to anyone with a passion for 3D modeling. By the end of the course, you will be able to design and build fully procedural bridges in Blender, generate stone paths, modify shapes, and texture your designs with proper UV unwrapping. You will be equipped to tackle more advanced procedural modeling techniques in your 3D projects.

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  98. Unconventional Reservoir Geomechanics

    Unconventional Reservoir Geomechanics

    The production of hydrocarbons from extremely low permeability unconventional reservoirs through horizontal drilling and multi-stage hydraulic fracturing has transformed the global energy landscape. Although hundreds of thousands of wells have been drilled and completed, recovery factors remain low in both tight oil (2-10%) and shale gas (15-25%) reservoirs. This course, designed for both geoscientists and engineers, covers topics ranging from the physical properties of reservoir rocks at the nanometer- to centimeter-scale to the state of stress on fractures and faults at the basin-scale. The course follows the textbook Unconventional Reservoir Geomechanics by Mark Zoback and Arjun Kohli, available in print or electronic versions. Unconventional Reservoir Geomechanics, Cambridge University Press 2019 https://www.cambridge.org/core/books/unconventional-reservoir-geomechanics/39665444034A2EF143D749DF48A5E5DC The first part of the course covers topics that become progressively broader in scale, starting with laboratory studies of the microstructural, mechanical, and flow properties of reservoir rocks and concluding with field observations of fractures, faults, and the state of stress in unconventional basins. The second part of the course focuses on the process of stimulating production using horizontal drilling and multi-stage hydraulic fracturing. Important engineering concepts will be reviewed, including microseismic monitoring, production and depletion, well-to-well interactions, and hydraulic fracture propagation. The final part of the course addresses the environmental impacts of unconventional oil and gas development, in particular the occurrence and management of induced seismicity. Two units will be released each week on edX. Each unit will be comprised of 3-5 video modules 10-20 minutes in length. Videos can be accessed at any time before the end of the course. Grading will be based entirely on 6 homework assignments. Homeworks are due on edX at the start of each week at 07:00 UTC (00:00 PST). Students who select the verified enrollment option and earn at least 70% on the homeworks will receive a certificate from edX.

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  99. Landscape Photography: Capture the Beauty of Planet Earth

    Landscape Photography: Capture the Beauty of Planet Earth

    Love taking photos outside? Join travel photographer Sean Dalton in Bali, Indonesia where he shows you how to capture beautiful photos of the world around you. In this 120 minute course, Sean takes you to some of Bali's most beautiful locations where he covers all the most essential information on landscape photography. In this course you will learn: How to find beautiful locations to capture landscape photos * The best gear for landscape photography * How to compose landscape photos * How to choose the best camera settings in any scenario * Tips for shooting at sunrise, sunset, and blue hour * How to edit your landscape photos following a simple editing workflow * ...Plus plenty of other tips and tricks that will help you capture beautiful landscape photos. This course is for: * Anyone that enjoys the outdoors and wants to learn how to better capture its beauty more effectively * Anyone that has a sense of adventure and wants to experience more of our beautiful planet! Instructor bio: Sean Dalton is a travel and lifestyle photographer passionate about storytelling through emotion and light. Originally from San Francisco, he has spent the past several years capturing stories across Asia and exploring a wide range of photography styles. Sean shares his expertise in travel and lifestyle photography, helping learners improve their craft and find their creative voice.

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  100. CompTIA Cloud CV0-003: Unit 8

    CompTIA Cloud CV0-003: Unit 8

    This course covers the fifth and final exam question domain, providing a comprehensive exploration of various troubleshooting scenarios and their potential root causes. You will dive into troubleshooting methodology, learning a systematic approach to tackle security permissions and data security issues. It focuses on deployment and connectivity challenges, where you will explore configuration problems, capacity issues, and network troubleshooting tools. It also addresses performance and automation scenarios, guiding you through resource utilization, application deployment, and orchestration issues. This course will prepare you to troubleshoot effectively in cloud environments and ensure seamless operations.

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