Agile Leadership Principles and Practices

<p>Agile can often challenge project managers in the realm of leadership. Old styles of command-control are now a thing of the past, except for the most conservative organizations. While good leaders employ a variety of leadership skills and leadership styles to motivate team members, even this is not enough. Simply setting a common goal and maintaining positive attitudes while raising your emotional intelligence will make you a better leader; but will it truly unlock your team's potential? </p> <p>Instead of leadership traits, Agile leadership emphasizes facilitation and communication skills. This is teachable and much more powerful. This unique and effective leadership style challenges traditional beliefs in what leadership means.</p> <p>Great leaders understand that the leader can no longer stand in the way of their team. Modern society, mindsets, and global competition demand new leadership roles, and leadership qualities all together that empower and motivate the team to new levels of productivity. Business leaders that miss this critical shift in leadership styles concede a powerful competitive advantage to the Agile leader. </p> <p>In this course, you will learn how this new style of leadership redefines and redistributes team roles by: </p> <ul> <li> <p>Motivating through empowerment to gain better decisions</p> </li> <li> <p>Facilitating the creativity and inclusivity of a high-functioning team</p> </li> <li> <p>Identifying and managing decision making biases</p> </li> <li> <p>Negotiating conflicts across individuals, teams, and organizations</p> </li> <li> <p>Ensuring success through delegation and powerful constraint-based metrics.</p> </li> <li> <p>You’ll learn to turn one internally motivated and critically thinking mind into many; and driving speed and innovation through leveraging all talents on the team.</p> </li> </ul> <p>While this course will not make you an agile certified practitioner (PMI-ACP), or certified scrum master (CSM), it offers a more fundamental agile certification based on agile principles and how agile leadership is applied in industry today. You'll finish this course more than ready to continue your agile journey, which we hope takes you to the next course in the series on Agile Process, Project, and Program Controls. </p> <p>Upon successful completion of this course, learners can earn 10 Professional Development Unit (PDU) credits, which are recognized by the Project Management Institute (PMI). PDU credits are essential to those looking to maintain certification as a Project Management Professional (PMP).</p>

Google Threat Intelligence - 简体中文

Google Threat Intelligence 能够向全球各地的安全团队及时提供详细的威胁情报，帮助其更好地监测威胁。本课程将介绍 Google Threat Intelligence 的各项功能，以及各类组织借助该产品主动缓解威胁的常见方式。

Quadro de Política Ambiental e Social do BID

Neste curso, Quadro de Política Ambiental e Social do BID, você aprenderá os princípios fundamentais, processos, atores e fases da abordagem do Banco Interamericano de Desenvolvimento (BID) para promover um desenvolvimento sustentável, inclusivo e resiliente na América Latina e no Caribe. Por meio de uma jornada dinâmica por diferentes "crônicas" ou trajetórias de desenvolvimento, você explorará como os 10 padrões de desempenho ambiental e social do Framework são aplicados na prática. Este curso permitirá que você identifique riscos e oportunidades socioambientais, compreenda os principais requisitos de implementação e desenvolva habilidades para enfrentar desafios complexos. Ao final do curso, você terá ferramentas práticas para aprimorar a qualidade e a sustentabilidade dos projetos em que trabalha, seja no setor público, privado ou em organizações multilaterais. Não é necessário ter experiência prévia em temas ambientais ou sociais.

Website and Database Migration to Azure Platform

This practical course equips learners with essential skills to analyze, evaluate, and implement the end-to-end migration of on-premises websites and MS SQL databases to the Microsoft Azure platform. Designed for IT professionals, developers, and cloud enthusiasts, the course offers guided, tool-based learning experiences using Azure App Migration Assistant, Website Migration Tool, and Data Migration Assistant. Through hands-on walkthroughs, learners will demonstrate the ability to assess web application readiness, configure Azure environments, migrate local assets, and optimize cloud performance and connectivity. By the end of the course, participants will be able to execute practical migration strategies and apply industry-standard best practices for deploying and managing applications in the Azure cloud.

Inteligencia Artificial aplicada al Marketing

“Inteligencia Artificial Aplicada al Marketing" es un curso online diseñado para introducir a profesionales, emprendedores y estudiantes en el mundo de la IA como motor de transformación del marketing digital. A través de explicaciones dinámicas y casos prácticos, los participantes aprenderán cómo aprovechar herramientas de IA para automatizar procesos, generar contenido de alto impacto y crear experiencias digitales sin necesidad de programar. El curso combina teoría y práctica para ofrecer una formación sólida, actualizada y orientada a la aplicación real. El recorrido comienza con una introducción a los fundamentos de la IA, sus tipos y su aplicación en el marketing actual. En el primer módulo, se exploran herramientas de generación de contenido como ChatGPT, Gemini, DeepSeek, SEO Writing, Jenni.ai, mostrando cómo pueden ser utilizadas para redactar textos, idear campañas, asistir al cliente y optimizar la comunicación de marca. Esta base conceptual permite a los estudiantes comprender el papel de la IA generativa como aliada estratégica en la creación de contenido digital. En el segundo módulo, el curso se adentra en el universo del desarrollo sin código, donde la inteligencia artificial y las plataformas no-code como 10Web, Softr, Hostinher, WXPO y GoodBarber permiten construir sitios web, tiendas online y aplicaciones móviles de forma rápida y sin conocimientos de programación. Se exploran aquí las capacidades de automatización del diseño, la integración con bases de datos y las posibilidades de lanzar productos digitales funcionales en cuestión de horas. El tercer módulo está enfocado en la automatización de procesos de marketing. A través de herramientas como Systeme.io y Make, los participantes aprenderán a diseñar embudos de ventas automatizados, campañas de email marketing inteligentes y flujos de trabajo integrados entre diversas plataformas. La capacidad de automatizar la generación de leads, el seguimiento de clientes y las conversiones será un diferencial clave que los alumnos podrán aplicar de inmediato en sus proyectos o empresas. Finalmente, el módulo cuatro se centra en la producción de contenido visual y audiovisual potenciado por IA. Se presentarán herramientas como Canva, Creatify, InVideo y Mootion, con las que se pueden crear imágenes, gráficos y videos optimizados para redes sociales como TikTok, Instagram y YouTube. También se verán herramientas especializadas para la gestión de redes y tareas específicas, como Repurpose y Wondercraft. Este módulo busca que los estudiantes desarrollen estrategias multimediales efectivas y creativas con el apoyo de la inteligencia artificial, elevando así la calidad y eficiencia de sus campañas digitales.

The neuropsychology of decision making

An introductory course to the complex cognitive process that is decision-making, from a neuropsychological perspective. Covering basic neuroanatomy, neurodevelopment, important structures, chemicals and networks, individual differences in decision-making and decision-making deficits.

MAYA Architecture - Bedroom Interiors

Master the art of bedroom interior design in 3D using Autodesk Maya. This hands-on course walks you through modeling a complete bedroom environment—from layout planning to creating detailed furniture and realistic fabric elements. Learn essential techniques like polygon modeling, extrusion, vertex manipulation, and nCloth simulation. By the end of the course, you’ll build a fully furnished, render-ready bedroom scene with professional detailing, ideal for portfolios, animation, or visualization projects.

Credit Risk Modeling

This comprehensive course equips learners with the knowledge and practical tools to analyze, evaluate, and apply key credit risk modeling techniques used in modern financial institutions. Through a blend of theoretical frameworks and real-world case studies, learners will explore foundational concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing into structural models like Merton’s approach and market-based credit assessment methods. Participants will also construct and interpret Altman Z-scores to assess bankruptcy risk, and apply credit rating principles to real-world scenarios including airline industry case studies. The course further delves into corporate credit evaluation using internal financial metrics, unhedged foreign currency exposure (UFCE), and working capital analysis, concluding with internal rating systems and lender “ways out” strategies. Designed for aspiring risk analysts, finance professionals, and advanced students, this course combines instructional rigor with practical relevance, enabling learners to build, differentiate, and justify credit decisions with confidence.

Introduction to Python for Scientific Computing

Whether you’re a scientist, engineer, student, or industry professional working with data or quantitative tasks, this course is your gateway to solving real-world problems with Python. Designed for beginners, no prior programming experience is required. We start with the basics and build up to powerful tools and techniques used every day in research and industry. You’ll learn how to fit data to custom models, automate repetitive tasks, create clear and professional visualizations, work efficiently with arrays, solve optimization problems, integrate and differentiate mathematical functions, and more using essential libraries like NumPy and SciPy. By the end of the course, you’ll be ready to start tackling scientific computing challenges in your field and build a strong foundation for more advanced topics like data science, statistics, and computational modeling. Whether you’re just starting out or looking to sharpen your skills, this practical, hands-on course opens the door to a wide range of applications across science, engineering, and beyond.

DP-900 Azure Data Fundamentals

This course provides a foundational understanding of core data concepts and how they are implemented using Microsoft Azure data services. Through structured modules, learners will explore relational and non-relational data models, data storage solutions, database management systems, and the process of integrating, analyzing, and visualizing data using Azure’s modern cloud ecosystem. Participants will gain practical experience through demonstrations and quizzes that reinforce concepts such as data representation, normalization, structured query language (SQL), Azure SQL Database, Cosmos DB, Azure Data Factory, and Power BI. By the end of this course, learners will be prepared to identify appropriate data solutions for various business scenarios, describe capabilities of Azure data services, and confidently pursue the Microsoft DP-900 certification exam.

PySide2 Training

This comprehensive course empowers learners to identify, construct, and integrate core and advanced components of graphical user interfaces using PySide2, the official Python binding for the Qt framework. Designed for aspiring developers with basic Python skills, the course walks learners through setting up a development environment, building functional GUI elements, and scaling to more sophisticated interfaces involving tab management, layout control, and dynamic data structures. Through real-world demonstrations and structured practice, learners will progressively demonstrate proficiency in working with input controls, implement event-driven behaviors, and organize interfaces with best practices in layout and interaction design. By the end of the course, learners will be able to create, modify, and optimize complete PySide2 applications that are both responsive and user-friendly.

Microsoft Azure - Data Factory

This comprehensive course empowers learners to construct, implement, monitor, and optimize data pipelines using Microsoft Azure Data Factory (ADF). Structured into four progressive modules, the course starts with foundational setup and connectivity, advancing to robust pipeline design, scheduling, debugging, and performance optimization using Azure Data Lake integration. Learners will configure source and destination datasets, execute copy activities, and deploy end-to-end workflows with precision. Through practical exercises, graded quizzes, and scenario-based tasks, learners will also diagnose failures, analyze pipeline behavior, and evaluate dataset and trigger configurations. By the end of the course, participants will be proficient in building dynamic, scalable, and production-ready data integration solutions using ADF. Designed for data professionals, engineers, and cloud practitioners, this course bridges theory with cloud-based implementation—helping learners transition from foundational concepts to enterprise-grade automation.

Introduction to agentic automation

Introduction to Agentic Automation Offered by UiPath on Coursera This course offers a practical introduction to agentic automation—a next-generation approach that blends AI-powered agents with human expertise to drive smarter, more adaptive business automation. Moving beyond traditional rule-based systems, agentic automation allows organizations to build workflows that can learn, make decisions, and evolve in real time. Through real-world examples and hands-on insights, learners will gain clarity on what agentic automation is, how it works, and how to adopt it responsibly. The training also addresses key concerns such as data security, accountability, and bias—ensuring a balanced, human-centric approach. Who is this for? This course is ideal for business professionals, automation program managers, and CoE leads looking to enhance their organization’s efficiency and innovation through AI-driven automation. What you'll learn: The core principles of agentic automation and how it differs from traditional automation Practical use cases across industries and business functions Key considerations like security, accountability, and fairness How agentic automation complements tools like RPA A hands-on introduction to Autopilot for Everyone, UiPath’s agentic automation experience By the end, you'll be ready to confidently explore and implement agentic automation in your business operations.

How to write better prompts

If you’ve ever asked ChatGPT a question or used an AI tool at work, you already know: the quality of your prompt shapes the quality of the response. This new course by UiPath on Coursera is designed to help you write smarter, clearer prompts that get the results you actually need—whether you’re drafting emails, analyzing reports, or using UiPath Autopilot for Everyone. You’ll explore the basics of generative AI, practice prompt makeovers, and pick up simple strategies to avoid AI hallucinations. By the end, you’ll walk away with a practical playbook you can use right away in your daily work. Who’s it for? This course is for you if you’re a business user, citizen developer, CoE lead, or program manager who wants better, more dependable output from generative AI—without needing to code. What you’ll learn: How generative AI and prompts really work Six techniques to write better prompts How to tailor prompts for UiPath Autopilot Ways to refine AI responses and boost accuracy

Cadre de Politique Environnementale et Sociale de la BID

Dans ce cours, "Cadre de Politique Environnementale et Sociale de la BID", vous apprendrez les principes fondamentaux, les processus, les acteurs et les phases de l'approche de la Banque Interaméricaine de Développement (BID) pour promouvoir un développement durable, inclusif et résilient en Amérique latine et dans les Caraïbes. À travers un parcours dynamique composé de différentes "chroniques" ou trajectoires de développement, vous explorerez comment les 10 normes de performance environnementale et sociale du cadre sont appliquées en pratique. Ce cours vous permettra d'identifier les risques et opportunités socio-environnementaux, comprendre les principales exigences de mise en œuvre et développer des compétences pour relever des défis complexes. À la fin du cours, vous disposerez d'outils pratiques pour améliorer la qualité et la durabilité des projets sur lesquels vous travaillez, que ce soit dans le secteur public, privé ou les organisations multilatérales. Aucune expérience préalable en matière environnementale ou sociale n'est requise.

IA generativa: explora el panorama

IA generativa: explora el panorama es el tercer curso de la ruta de aprendizaje de Líder de IA generativa. La IA generativa está cambiando la manera en la que interactuamos y trabajamos con el mundo que nos rodea. Pero, como líder, ¿cómo puedes aprovechar su poder para generar resultados comerciales reales? En este curso, explorarás las diferentes capas del desarrollo de soluciones de IA generativa, las ofertas de Google Cloud y los factores que se deben considerar cuando se selecciona una solución.

Google Threat Intelligence 한국어

위협에 대한 탁월한 가시성을 제공하는 Google Threat Intelligence를 통해 전 세계 보안팀은 상세한 위협 인텔리전스를 적시에 확인할 수 있습니다. 이 과정에서는 Google Threat Intelligence의 다양한 기능과 조직에서 위협을 선제적으로 완화하기 위해 이 제품을 사용하는 일반적인 방법을 다룹니다.

Parte 1: Design Thinking para la resolución de problemas

Descubre cómo aplicar el Design Thinking para abordar desafíos reales que afectan a personas concretas. Este curso introductorio está diseñado para profesionales, educadores o emprendedores interesados en resolver problemas sociales con un enfoque centrado en el usuario.

AI Governance

As AI systems become more powerful and embedded across industries, the need for effective governance is no longer optional – it’s essential. This course explores how organisations can ensure that AI tools are not only effective but also safe, fair, and accountable throughout their lifecycle. You’ll learn to identify key risks such as bias, misalignment, and overreliance, and explore why even well-intentioned AI systems can fail. From ethical frameworks to incident response plans, this course provides practical tools to embed trust into every stage of AI development and deployment. Using real-world scenarios and governance models like the Trustworthy AI Cycle, you’ll examine how principles such as transparency, oversight, and explainability can be operationalised in business settings. Whether you're selecting vendors, building internal systems, or crafting policy, this course equips you to lead AI implementation with integrity. With case studies, strategic frameworks, and implementation guidance, you’ll leave with a roadmap for aligning AI systems with legal, ethical, and societal expectations. This is the third course in the AI Foundations for Business Professionals specialisation. To get the most out of this course, we recommend completing AI Essentials and Generative and Agentic AI beforehand to build both the technical understanding and applied context for responsible AI leadership.

Azure Cognitive Services - Creating an AI Based Chatbot

This hands-on course equips learners with the essential skills to design, develop, and deploy AI-based chatbots using Microsoft Azure Cognitive Services and Java. Tailored for intermediate-level participants, the course focuses on applying Azure’s QnA Maker to construct intelligent FAQ-driven bots and seamlessly integrate them into Java applications. Learners will begin by understanding core concepts of Azure’s cognitive architecture and then progress to configuring QnA services through a dedicated interface. They will build a chatbot back-end in Java, troubleshoot real-world integration issues, and validate the end-to-end deployment using Spring Tool Suite. Finally, learners will evaluate the impact of cloud-based services on operational costs and demonstrate how to perform responsible service cleanup in Azure. By the end of the course, learners will be able to: Design QnA knowledge bases using Azure Cognitive Services. Develop REST-enabled Java applications for chatbot integration. Diagnose and resolve common implementation issues during development. Execute and validate chatbot functionality through local and cloud-based environments. Optimize and manage Azure resources to ensure cost efficiency.

Large Multimodal Model Prompting with Gemini

Multimodal models like Gemini are pushing the boundaries of what’s possible by unifying traditionally siloed data modalities. With Gemini, you can build applications that seamlessly understand and reason across text, images, and videos, enabling a new class of intelligent systems. For example, building a virtual interior designer that can analyze a user’s room images, understand their style preferences from a text description, and generate personalized design recommendations. Or creating a smart document processing pipeline that can extract structured data from complex PDFs, answer questions based on the content, and generate human-like summaries. You’ll learn prompt engineering techniques to guide Gemini’s behavior and optimize its performance for diverse use cases, from creative story generation to analytical report writing. And you’ll discover how to integrate Gemini with external APIs and databases using function calling, with the ability to infuse your applications with real-time data and dynamic content. What you’ll learn, in detail: 1. Introduction to Gemini Models: Explore the Gemini model family, and understand the key differences and use cases for Gemini Nano, Pro, Flash, and Ultra. Understand how to select optimal models based on capability, latency, and cost considerations. 2. Multimodal Prompting and Parameter Control: Learn advanced techniques for structuring effective text-image-video prompts to elicit desired model behavior. Fine-tune key parameters like temperature, top_p, top_k to control model creativity vs determinism. 3. Best Practices for Multimodal Prompting: Get experience with prompt engineering for Gemini multimodal models, and best practices around role assignment, task decomposition, and formatting. Analyze the impact of prompt-image ordering on model performance for different objectives. 4. Creating Use Cases with Images: Build engaging multimodal applications like interior design assistants and receipt itemization tools. Leverage Gemini’s cross-modal reasoning capabilities to analyze relationships between entities across multiple images. 5. Developing Use Cases with Videos: Implement “needle in the haystack” semantic video search powered by Gemini’s large context window. Explore techniques for long-form video QA and content summarization. 6. Integrating Real-Time Data with Function Calling: Extend Gemini with external knowledge and live data via function calling and API integration. Combine Gemini’s Natural Language Understanding (NLU) capabilities with APIs for up-to-date facts and interactive services. Through this course, you’ll become well-versed in Gemini’s capabilities, how to maximize them in different use cases, and a portfolio of practical techniques for architecting advanced multimodal AI applications. Note that due to technical requirements, this course features downloadable-only notebooks on the learning platform. You are free to download, review, and run these notebooks on your own.

Java Programming Masterclass

"This comprehensive Java Programming Masterclass is designed to take learners from the fundamentals of Java to building fully functional real-world desktop applications. Through a progressive modular approach, students explore core programming concepts, master object-oriented principles, and develop practical GUI-based systems using Java Swing and NetBeans. Starting with the essentials such as variables, loops, methods, and conditionals, the course steadily builds up to advanced topics including interfaces, inheritance, file handling, JDBC, and encapsulation. Hands-on case studies like the Attendance Management System and Employee Management System challenge learners to apply their skills in practical scenarios. The course emphasizes both conceptual clarity and project-based learning, making it ideal for aspiring software developers, computer science students, and professionals aiming to solidify their Java expertise. By the end of the program, learners will be proficient in designing, developing, and deploying Java applications with a robust understanding of programming patterns and system development."

Intro to Federated Learning

Join Federated Learning! In this two-part course series, you will use Flower, a popular open source framework, to build a federated learning system, and learn about federated fine-tuning of LLMs with private data in part two. Federated learning allows models to be trained across multiple devices or organizations without sharing data, improving privacy and security. Federated learning also has many practical uses, such as training next-word prediction models on mobile keyboards without transmitting sensitive keystrokes onto a central server. First, you’ll learn about the federated training process, how to tune and customize it, how to increase data privacy, and how to manage bandwidth usage in federated learning. Then, you’ll learn to apply federated learning to LLMs. You’ll explore challenges like data memorization and the computational resources required by LLMs, and explore techniques for efficiency and privacy enhancement, such as Parameter-Efficient Fine-Tuning (PEFT) and Differential Privacy (DP). This two-part course series is self-contained. If you already know what federated learning is, you can start directly with part two of the course. In detail, here’s what you’ll do in part one: 1. Learn how federated learning is used to train a variety of models, ranging from those for processing speech and vision all the way to the large language models, across distributed data while offering key data privacy options to users and organizations. 2. Learn how to train AI on distributed data by building, customizing, and tuning a federated learning project using Flower and PyTorch. 3. Gain intuition on how to think about Private Enhancing Technologies (PETs) in the context of federated learning, and work through an example using Differential Privacy, which protects individual data points from being traced back to their source. 4. Learn about two types of differential privacy – central and local – along with the dual approach of clipping and noising to protect private data. 5. Explore the bandwidth requirements for federated learning and how you can optimize it by reducing the update size and communication frequency.

Project on PyQt - Creating a Calculator

This project-based course guides learners through the design and development of a fully functional calculator application using PyQt5 and Python. Starting from environment setup to interface layout and backend logic integration, learners will gain hands-on experience building real-world GUI applications. The course begins by introducing key PyQt concepts, setting up a Python development environment in PyCharm, and installing essential packages. Through structured lessons, learners will design the graphical interface using widgets like QLabel, QPushButton, and geometric layout tools such as QRect. They will then implement core logic using object-oriented programming principles and PyQt’s signal-slot mechanism. By the end of the course, learners will be able to construct a GUI from scratch, apply logical operations based on user input, and demonstrate a complete PyQt application with interactive features and clean visual structure. This course is ideal for developers seeking to apply their Python skills in desktop application development using PyQt.

Generative and Agentic AI

Generative and agentic AI systems are pushing the boundaries of what artificial intelligence can create, automate, and initiate. This course explores the cutting-edge capabilities behind tools like ChatGPT and autonomous agents; unpacking not just how they work, but how they’re transforming workflows, communication, and decision-making across industries. You’ll dive into the mechanics of large language models (LLMs), the design of effective prompts, and the power of retrieval-augmented generation (RAG) to ground outputs in real data. As AI systems become more proactive and goal-directed, you’ll examine what agentic AI means for autonomy, alignment, and organisational control. Alongside technical insights, this course guides you in understanding the strategic and operational challenges of deploying these systems responsibly. With simulations, practical demonstrations, and expert-led content, you’ll gain the tools to evaluate generative and agentic AI systems with clarity and confidence. Whether you’re exploring content automation, AI agents for business tasks, or governance strategies, this course helps you navigate both the potential and the pitfalls of this fast-evolving field. This is the second course in the AI Foundations for Business Professionals specialisation. We recommend completing AI Essentials first to build a strong conceptual foundation before applying these advanced AI systems in your organisation.

Microsoft Azure - Data Lake

This hands-on course empowers learners to design, implement, and optimize data analytics solutions using Microsoft Azure Data Lake. Through a step-by-step, modular framework, participants will explore the fundamentals of scalable data storage, master U-SQL scripting for data transformation, and gain proficiency in job submission, performance tuning, and cost management using tools like Azure CLI, PowerShell, and Visual Studio. Learners will analyze real-world data scenarios, construct dynamic queries, deploy reusable views and functions, and evaluate job performance through diagnostics, heat maps, and vertex execution views. The course concludes with strategies to organize, secure, and manage data using both graphical and command-line tools, while also interpreting pricing models for efficient cost planning. Aligned with Bloom’s Taxonomy, this course encourages learners to: Understand the architecture and components of Azure Data Lake Apply U-SQL to perform data extraction, filtering, and aggregation Analyze job graphs and performance metrics for optimization Create reusable query logic using views, functions, and stored procedures Evaluate cost efficiency and scalability across access methods Manage data environments using automation and scripting interfaces

Parte 3: Design Thinking de la idea al prototipo

Convierte ideas en soluciones tangibles mediante Design Thinking. Este módulo integrado está diseñado para profesionales y equipos que buscan avanzar del reto identificado a la creación de prototipos funcionales. Aprenderás a generar ideas relevantes y potentes, alineadas con una estrategia clara, y a validarlas con herramientas de bajo coste que reducen la incertidumbre.

생성형 AI: 챗봇 그 이상의 가치

'생성형 AI: 챗봇 그 이상의 가치'는 생성형 AI 리더 학습 과정의 첫 번째 과정이며 요구되는 기본 요건이 없습니다. 이 과정은 챗봇에 대한 기본적인 이해를 넘어 조직을 위한 생성형 AI의 진정한 잠재력을 살펴보는 것을 목표로 합니다. 생성형 AI의 강력한 기능을 활용하는 데 중요한 파운데이션 모델 및 프롬프트 엔지니어링과 같은 개념을 살펴봅니다. 또한 조직을 위한 성공적인 생성형 AI 전략을 개발할 때 고려해야 할 중요한 사항도 안내합니다.

Administración de datos de Google Workspace

En este curso, los estudiantes aprenderán habilidades para administrar los datos en su entorno de Google Workspace. Explorarán las reglas de Prevención de pérdida de datos en Gmail y Drive para impedir la filtración de datos. También aprenderán a usar Google Vault para la retención, la preservación y la recuperación de datos. Luego, aprenderán a configurar regiones de datos y parámetros de configuración de exportación para cumplir con las normativas. Por último, los estudiantes descubrirán cómo clasificar datos con etiquetas para mejorar la organización y la seguridad.

Apps de IA generativa: transforme seu trabalho

Transforme seu Trabalho com Aplicativos de IA Generativa é o quarto curso do programa de aprendizado Líderes em IA Generativa. Esse curso apresenta os aplicativos de IA generativa do Google, como Gemini para Workspace e NotebookLM. Além disso, aborda conceitos como embasamento, geração aumentada de recuperação, construção de comandos eficazes e criação de fluxos de trabalho automatizados.

U.S. Federal Taxation

This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.

Generative AI for Data Analysts

The demand for professionals with a knowledge of artificial intelligence (AI) is on the rise. There is a revolution in the way organizations make decisions on the basis of generative AI data analysis. This specialization brings forth real-world generative AI use cases and popular generative AI models and tools for text, code, image, audio, and video generation. In this specialization, you will delve into generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches, and tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust. Next enhance your skills with an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications, with regards to the data analytics landscape. Learn about the building blocks and foundation models of generative AI, such as the GPT, DALL-E, and IBM Watson Studio. Additionally, you will understand the ethical implications, considerations, and challenges while using generative AI in different industries. The hands-on labs included in the course offer an opportunity to apply different tools in the IBM Generative AI Classroom. You will apply the concepts learned in the course in a real-life project scenario at the end of the course. No experience is needed to begin this specialization, although you might find it helpful to have some data analytics knowledge.

Fundamentals of Accounting

Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions.

IBM Machine Learning

Prepare for a career in the field of machine learning. In this program, you’ll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months. Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI) where computers are taught to imitate human intelligence in that they solve complex tasks. Roles available to those proficient in Machine Learning include machine learning engineer, NLP scientist, and data engineer. This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement learning. You will follow along and code your own projects using some of the most relevant open-source frameworks and libraries, and you will apply what you have learned in various courses by completing a final capstone project. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.

IBM IT Scrum Master

Advance your career as an IT Scrum Master. As more organizations adopt Agile development practices, the demand for Scrum Masters, especially in the IT industry, is expected to grow significantly over the next 10 years. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market. Scrum Masters play a crucial role leading teams using Agile project management methodologies to lead projects to a successful completion. They work to remove any obstacles that may hinder project completion or progress. They facilitate Scrum events such as daily stand-up meetings, sprint planning, sprint reviews, and retrospectives. They plan, track, and lead all communication and collaboration between leadership and key team members. An IT Scrum Master needs to be proficient in IT Fundamentals, the Software Development Lifecycle, DevOps, and Agile Project Management in order to lead successful IT projects. In this program, you’ll master these essential skills, tools, and methodologies. Upon completion, you’ll have a portfolio of real world projects and a Professional Certificate from IBM to showcase your proficiency to potential employers. This program is ideal for existing software and IT professionals who want to level up their careers with modern development practices and skills. Additionally, the content covered during this program will help prepare learners for certifications such as the Scrum Alliance CSM, PMI-ACP, and PMI-DASM.

IBM Full Stack Software Developer

Prepare for a career in the high-growth field of software development. In this program, you’ll learn in-demand skills and tools for front-end, back-end, and cloud native application development to get job-ready in less than 4 months. Full stack refers to the end-to-end computer system application, including the front end and back end coding. Cloud native development refers to developing a program designed to work on cloud architecture. The flexibility and adaptability that full stack and cloud native developers provide make them highly sought after in this digital world. You'll also have the option to learn how generative AI tools and techniques are used in software development. You’ll learn how to build, deploy, test, run, and manage full stack cloud native applications. Technologies covered includes Cloud foundations, GitHub, Node.js, React, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Databases, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, Serverless computing, and more. After completing the program you will have developed several applications using front-end and back-end technologies and deployed them on a cloud platform using Cloud Native methodologies. You will publish these projects through your GitHub repository to share your portfolio with your peers and prospective employers. This program is ACE® and FIBAA recommended—when you complete, you can earn up to 18 college credits and 6 ECTS credits.

Leading People and Teams

In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, previous Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges.

Desarrollador de Meta de Android

Have you ever wanted to build your own mobile app? This certificate will teach you the top Android programming languages and frameworks used for building apps like Facebook and Instagram, and how to create your own Android application. Upon completion, you’ll get access to the Meta Career Programs Job Board—a job search platform that connects you with 200+ employers who have committed to sourcing talent through Meta’s certificate programs, as well as career support resources to help you with your job search. In this program, you’ll learn: Essential Android programming concepts and the tools needed to develop applications How to use the Kotlin Playground Create user interfaces (UI) for mobile apps using Android Studio Manage the lifecycle and data collections of mobile applications Work with web technologies and persistent data on Android applications Describe best practices for designing the UI and experience for mobile applications Create cross-platform applications using React Native Prepare for technical interviews for Android developer roles Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.

Supply Chain Excellence

This Specialization is an advanced view to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy. The Specialization is for you, if: 1. have taken our introductory specialization in Supply Chain Management and want to learn more; 2. you have some experience in Supply Chain Management and want to understand the topic better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.

Diseño de Experiencia del Usuario (UX) de Google

Comienza tu carrera en diseño UX sin necesidad de contar con un título ni experiencia previa. Accede rápidamente a un trabajo con un sueldo competitivo gracias a la formación profesional diseñada por Google. El diseño UX se centra en la interacción de las personas con productos como sitios web, aplicaciones y objetos físicos. Su objetivo es lograr que esos intercambios cotidianos sean útiles, agradables y accesibles. A lo largo de 7 cursos adquirirás habilidades de alta demanda que te prepararán para un trabajo de nivel básico. Puedes finalizar el programa en menos de 6 meses con una dedicación menor a 10 horas semanales. Podrás crear diseños en papel y con herramientas digitales, como Figma y Adobe XD. Al final del programa de Certificados, tendrás un portfolio UX profesional con tres proyectos integrales, de modo que estarás en condiciones para postularte a puestos de trabajo reales. El 75% de quienes obtuvieron un certificado de Google en los Estados Unidos informa que registró una mejora en su carrera profesional dentro de los 6 meses de haber obtenido el certificado. Echa un vistazo a todos los Certificados Profesionales de Google aquí. Cita: *según las respuestas de la encuesta de graduados del programa, Estados Unidos, 2021

Google IT Automation with Python

This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career. Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers. This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud. This certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completion, you can share your information with potential employers, like Deloitte, Target, Verizon, and of course, Google. We recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you. If you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate. Check out all Google Career Certificates here.

Ingeniero en base de datos de Meta

Want to get started in the world of database engineering? This program is taught by industry-recognized experts at Meta. You’ll learn the key skills required to create, manage and manipulate databases, as well as industry-standard programming languages and software such as SQL, Python, and Django used for supporting outstanding websites and apps like Facebook, Instagram and more. Upon completion, you’ll get access to the Meta Career Programs Job Board—a job search platform that connects you with 200+ employers who have committed to sourcing talent through Meta’s certificate programs, as well as career support resources to help you with your job search. In this program, you’ll learn: Core techniques and methods to structure and manage databases. Advanced techniques to write database driven applications and advanced data modeling concepts. MySQL database management system (DBMS) and data creation, querying and manipulation. How to code and use Python Syntax How to prepare for technical interviews for database engineer roles. Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.

Desarrollador de Meta de IOS

Have you ever wanted to build outstanding mobile apps like Facebook and Instagram? This Professional Certificate will teach you how to build applications for iOS devices and start a new career as an iOS Developer. By the end of this program, you’ll be able to create and run a mobile app powered by iOS operating systems. Once you complete the program, you’ll get access to the Meta Career Programs Job Board—a job search platform that connects you with 200+ employers who have committed to sourcing talent through Meta’s certificate programs, as well as career support resources to help you with your job search. In this program, you’ll learn: Essential iOS programming concepts and the tools needed to develop applications Create user interfaces (UIs) for mobile apps using SwiftUI Manage the lifecycle and data collections of mobile applications Work with web technologies and manage data on iOS applications Build an iOS app Create cross-platform applications using React Native Prepare for technical interviews for iOS developer roles Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.

Complete ASP.NET Core and Entity Framework Development

Updated in May 2025. This course now 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. This comprehensive course is designed to take you from the basics of ASP.NET Core to advanced development techniques. By the end, you’ll have a solid understanding of ASP.NET Core and Entity Framework, essential for building dynamic web applications. You will learn to create a fully-functional web app using ASP.NET Core, connect it to a database with Entity Framework Core, and deploy it to IIS and Azure. Start with setting up Visual Studio and explore MVC, GitHub, and Bootstrap. Learn database setup with Entity Framework, and build Leave Management modules with authentication, authorization, and service layers. Advanced topics include exception handling, logging with Serilog, and custom layout creation. You'll refine your understanding of API development, unit testing, and optimization techniques, ensuring high-quality and scalable web apps. This course is ideal for beginners with basic programming knowledge, whether you’re new to .NET or transitioning from another platform. By the end, you'll be equipped with the skills to confidently build, configure, and manage modern web applications.

Financial Reporting

The Financial Reporting Specialization emphasizes the application of financial accounting principles and processes used to prepare an organization’s financial statements. The specialization addresses the measurement of assets, liabilities, equity, revenue, expenses, gains, losses, and the disclosure of additional information that allows users to understand the financial reports. We will discuss the financial accounting structure and review the fundamental accounting process used to prepare the financial statements and analyze them in the decision-making process.

Legal Aspects of Entrepreneurship

By its nature, the law touches on many aspects of entrepreneurship, making it an applicable and versatile topic of study. For aspiring entrepreneurs, it's important to understand how to form the business, work with the initial customers, and hire. For active entrepreneurs, there are critical considerations on employment law, operating policies, and managing contracts. For everyone, the role that the law plays in managing the company, and its associated risks, must be properly understood to navigate challenges and capitalize on opportunities. With the aspiring and active entrepreneur in mind, this Specialization focuses on the foundational elements of law with initial attention to business formation and organization. Our second course focuses on intellectual property, and how patents, copyrights, trademarks, and trade secrets can influence or impede your success. The final course focuses on contracts and financing arrangements important to business creation and growth. In every course, learners examine real-world scenarios and address legal and business issues in a practical manner. Learners will develop an understanding of what legal activities they may pursue on their own as well as when and how to select and work with an attorney.

Introduction to Robotics with Webots

The overarching learning goal of this specialization in robotics is to create an appreciation for the tight interplay between mechanism, sensor, and control in the design of intelligent systems. By the end of this specialization, you will be able to (1) formally describe the forward and inverse kinematics of a mechanism, (2) discretize the robot’s state from algorithmic reasoning, and (3) understand the sources of uncertainty in sensing or actuation and describe them mathematically. During this specialization, you will gain hands-on experience in Python and use the realistic robotic system simulator, “Webots”.

Advanced Git Features

Venture into the realm of Advanced Git Features. This course is designed to provide a comprehensive overview of this integration, shedding light on the significance of embedding security into every phase of the development process. In the first module, you will delve into understanding and implementing DevSecOps. You'll gain insights into the best practices for secure development, from the initial ideation phase right through to deployment, ensuring the delivery of secure software products. The second module covers the transformative role of automation in DevSecOps. It showcases how automation can not only enhance efficiency and code quality but also speed up release cycles and reduce vulnerabilities. By the conclusion of this course, learners will not just be familiar with the theoretical concepts of DevSecOps but will be equipped with the practical skills needed to implement these principles in real-world scenarios. They will be poised to champion efficiency, security, and collaboration within their respective organizations, driving impactful change.

IA generativa: descubre los conceptos fundamentales

IA generativa: descubre los conceptos fundamentales es el segundo curso de la ruta de aprendizaje de Líder de IA generativa. En este curso, descubrirás los conceptos fundamentales de la IA generativa explorando las diferencias entre esta, el AA y la IA, y comprendiendo cómo los diferentes tipos de datos permiten abordar desafíos empresariales con la IA generativa. También conocerás las estrategias de Google Cloud para abordar las limitaciones de los modelos de base y los desafíos clave para desarrollar e implementar la IA de forma responsable y segura.

Inteligencia artificial generativa para alumnos

Aprende a dominar la Inteligencia Artificial Generativa (IAG) como una herramienta clave para tu desarrollo académico y profesional. En este curso, descubrirás qué es la IAG, cómo construir flujos de conversación éticos y desarrollar prompts efectivos. Explorarás su aplicación en el estudio, desde la comprensión y repaso de contenidos hasta el análisis crítico. Finalmente, aprenderás a crear productos de aprendizaje con apoyo de la IAG, desarrollando insumos creativos y metodologías de trabajo. Al finalizar, serás capaz de integrar la IAG en tu vida académica y profesional de forma ética, estratégica y creativa, mejorando tu competitividad y liderazgo en entornos digitales emergentes. Este curso está diseñado con un enfoque práctico, reflexivo y colaborativo para que lleves tu aprendizaje al siguiente nivel.

Deep Learning with Real-World Projects

Embark on an immersive journey into deep learning, where theoretical concepts meet practical applications. This course begins with a foundational understanding of perceptrons and neural networks, gradually advancing to complex topics such as backpropagation and convolutional neural networks (CNNs). Each module is meticulously designed to provide hands-on experience, allowing you to apply what you've learned to real-world scenarios. Our curriculum emphasizes the practical aspects of deep learning, ensuring you gain valuable skills in building and training neural networks. You'll explore cutting-edge techniques and tools like TensorFlow and Keras, essential for modern AI development. From working with image data to implementing transfer learning, the course covers a broad spectrum of applications, including medical image analysis and natural image classification. By the end of this course, you'll have a robust portfolio of projects showcasing your expertise in deep learning. You'll be equipped to tackle complex problems, optimize neural networks, and deploy models in real-world environments. Whether you're looking to advance your career in AI or start your journey in data science, this course provides the comprehensive knowledge and practical experience you need. Ideal for data scientists, and ML engineers, with a basic understanding of Python programming and mathematics, including linear algebra and calculus. Familiarity with ML algorithms is recommended.

IBM AI Foundations for Business

This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.

Music Production

This Specialization will give you the knowledge and tools you need to record and produce professional sounding music. You will begin by developing your identity, vision, and intention as an artist and producer. Next, you will learn the technical aspects of music production, including how sound is translated into audio signals, recording techniques, and effects such as reverb, delay, and compression. You will also learn how to use the industry standard Digital Audio Workstation, Pro Tools, to create professional recordings. Finally, you will apply the knowledge and tools you gained in a culminating 4-week Capstone where you will complete a project beginning at the pre-production stage through the recording, mixing, and mastering stages.

Data Structures and Algorithms

Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.

AI for Marketing

This specialization explores the transformative impact that AI will have on marketing by guiding learners through its applications across the customer journey. Participants will gain experience in leveraging AI to support customer acquisition and retention, creating compelling marketing content using generative AI, and assessing the effectiveness of AI-driven strategies. After completing the specialization, learners will be equipped to leverage AI to enhance marketing outcomes and drive growth.

Statistical Modeling for Data Science Applications

Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models. Emphasis will be placed on analyzing real data using the R programming language. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash

Machine Learning

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Teaching Impacts of Technology in K-12 Education

2% That’s the estimate of how many high school students in all of California took a Computer Science class in 2015. And yet, computers and data are everywhere. Just consider a typical 24 hours in your life … how many different computer devices do you use? We all live in multiple digital worlds that are changing rapidly with new apps, devices, and data analyses offering a constant stream of innovations and technology integrations for our lives. As it's an integral part of our lives, we’re working towards computer science for all - making it possible for every student, every future member of society, to understand computing and technology. To do so, we need teachers. Teachers prepared to both teach computational concepts and use best practices so kids enjoy and see they can be successful in computer science. This is where you (and this Specialization) come in! In this Specialization you will both learn about the impacts of computing in our world and how to teach these impacts to K-12 students. We offer both the technical knowledge and also the pedagogical approaches for teaching these concepts. Along the way you’ll engage with freely available materials you can use in your own classroom, as well as learn from teachers currently teaching these concepts in their classrooms. In short - in this Specialization we'll teach you the computing concepts you need to know and then help you explore and evaluate lesson plans and resources to prepare you for your classroom.

Think like a CFO

The Think like a CFO Specialization will help you learn the language of finance. You will gain a firm understanding in Accountability, Operational Finance and Corporate Finance. By the end of the specialization, you’ll know what questions to ask and how to fit the different pieces together in order to develop a diagnosis and action plan to resolve a company’s financing dilemmas. You will have gain the necessary skills to understand basic concepts and feel comfortable reading, interpreting and discussing financial statements for decision making and you will understand the hey financial issues related to companies, investors, and the interaction between them in the capital markets. When you complete the Specialization, you’ll be able to better understand both business financial problems to make better decisions and your own personal financial decisions

Chemical Hazards and Process Safety

This Specialization is intended for engineers, particularly chemical engineers, but applicable to anyone seeking to develop process safety experience involving process operations. Through four courses, you will cover evaluation of risk and potential process hazard scenarios, toxic chemical impacts, dispersion, fire/explosion, and prevention/mitigation measures including pressure relief systems, inherently safer design, and more which will aid you in gaining important, practical, value-added skills and information that will aid your career, or preparation for a career, in chemical process engineering.

Parallel, Concurrent, and Distributed Programming in Java

Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers. To see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here. Acknowledgments The instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).

Multichannel Marketing - Email, Content and Mobile Marketing

This comprehensive Multichannel Marketing Specialization equips you with the essential skills to excel in various facets of digital marketing, from social media and email marketing to mobile app optimization and content strategy. Through six in-depth modules, you'll learn to attract and engage customers, drive business growth, and adapt to the evolving digital landscape. By the end of this program, you will be able to: Understand Behavioral Marketing and Digital Strategies: Master the fundamentals of behavioral marketing, including customer lifecycle management and the RACE framework, to build robust digital strategies that drive growth. Excel in Email Marketing: Develop, design, and optimize email campaigns using tools like Mailchimp, focusing on audience management, automation, and A/B testing for maximum engagement and business impact. Master Mobile App Marketing and Monetization: Optimize your app for success through App Store Optimization (ASO), advanced promotion strategies, and effective CRM management to boost downloads and revenue. Develop Effective Content Strategies: Create and refine content strategies that enhance brand visibility and engagement, leveraging paid ads, content calendars, and content structure optimization to improve SEO and audience interaction. Guided by industry experts, you'll engage in hands-on activities and real-world examples, preparing you for success in entry-level digital marketing roles and beyond.

Global Health Innovations

This specialisation reflects on global health challenges and the role of innovative solutions in addressing them. It is intended for public health professionals, budding entrepreneurs and innovators, as well as those interested in understanding the role innovation plays in the health industry. The specialisation begins by providing learners with the ‘nuts and bolts’ of technology and innovation management, including key definitions and terminologies. You'll then examine ethical dimensions of innovation and explore how innovations can be supported through effective financing, protection and other incentives to support entrepreneurship. The specialisation will include in-depth examination of a variety of innovation case studies, using a variety of theoretical and practical frameworks, to understand what makes an innovation more likely to be adopted. You will also explore entrepreneurship and the skills necessary to take an idea through to invention and then innovation - and how to galvanise support for it. By the end of the specialisation, you will be able to consider, in detail, and using appropriate terminology and frameworks, a particular innovation, explaining its added value in a particular context and in a persuasive manner.

Administración de Empresas

Este Programa especializado está dirigido a quienes busquen profundizar en el campo de la administración de empresas, recorriendo distintas áreas de esta disciplina. A través de estos cursos te irás apropiando de diferentes saberes, entre ellos: Comprender la importancia del desarrollo estratégico en la gestión de capital humano. Desarrollar el objetivo empresarial. Desarrollar sistemas ágiles de gestión. Entender la relación del marketing con el negocio, su lado estratégico y la relevancia del marketing operativo. Generar herramientas que permitan analizar y comprender apropiadamente el modo en el que el contexto económico influye sobre el desempeño de una empresa. Interpretar y utilizar la información contable y financiera como herramienta para el control de gestión y la toma de decisiones.

Luxury Hospitality & Brand Innovation

In today’s experience-driven world, luxury hospitality brands must continuously innovate to delight discerning guests and drive brand differentiation. The Luxury Hospitality & Brand Innovation Specialization prepares professionals and entrepreneurs with the essential skills to lead luxury hospitality businesses in this dynamic environment. Designed for hospitality managers, marketing leaders, entrepreneurs, and aspiring luxury brand innovators, this three-course specialization delivers an integrated learning experience. Learners will explore modern hospitality management trends, master digital marketing and brand storytelling, and apply design thinking to service innovation. Key learning areas include:- Evolving guest expectations in the 21st century- Building powerful online brand presence and loyalty- Crafting guest-centric services through innovation and design thinking- Leveraging digital platforms and trends for competitive advantage- Sustainability and ethical practices in luxury hospitality. Prepare for roles such as Hotel Manager, Marketing Manager, Brand Strategist, Hospitality Entrepreneur, and Guest Experience Innovator. No prior experience in marketing or service design is required — just a passion for elevating guest experiences in the luxury hospitality space.

Databases for Data Scientists

Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you! We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development. In this specialization you will learn about database design, database software fundamentals, and how to use the Structured Query Language (SQL) to work with databases. The specialization, will conclude with an overview of future trends in databases, including non-relational databases (NoSQL) and Big Data. Upon completion of this specialization you will be well prepared to design and create efficient and effective relational databases, fill them with data, and work with them using SQL.

Effective Communication: Writing, Design, and Presentation

Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do. What our students say: "A life-changing specialization." "Simple yet powerful rules." "Essential for everyone."

SOLIDWORKS 3D CAD for Education

This Specialization helps users enhance their SOLIDWORKS skills by solving CAD problems to prepare for the Certified SOLIDWORKS Associate (CSWA) exam. Learners will create and modify sketches, apply material addition and removal features, generate patterns, and assemble parts using mates. Designed for both classroom and self-paced learning, this module aligns with industry standards and supports skill development for real-world engineering applications.

Technology & Entrepreneurship

Everyone can be a technology innovator. This specialization helps learners translate their technical knowledge and problem-solving skills into high value products and services. Throughout this specialization learners will better understand the technology entrepreneurship field and envision being a part of it. Participants will also reflect on their own ideas and ambitions and develop the beginning of an innovation to bring to the world.

The Influence of Social Determinants on Health

Why are some groups healthier than others, and how do these differences emerge and persist over a lifetime? How do social policies on housing, transportation, and employment relate to health and health inequalities? This specialization will examine social, behavioral, economic, political, and structural factors that contribute to health inequalities, and suggest innovative ways to reduce disparities in health to achieve health equity.You will learn, -Use conceptual models to understand health disparities in the U.S. and internationally. -Access and use high-quality data sources to present statistics that illustrate the social-environmental-health issues within a community. -Identify the main sources of these disparities from a population science perspective, and use public health evidence to inform policy efforts to address these disparities. -Conduct community health needs assessments and identify evidence-based interventions.

Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

O que é aprendizado de máquina e que tipos de problema ele pode resolver? Quais são as cinco fases da conversão de um possível caso de uso de aprendizado de máquina e por que é importante que elas não sejam ignoradas? Por que as redes neurais são tão requisitadas hoje? Como configurar um problema de aprendizado supervisionado, além de encontrar uma solução ótima e generalizável com gradiente descendente e uma boa forma de criar conjuntos de dados? Aprenda a gravar modelos de aprendizado de máquina distribuídos com escalonamento no TensorFlow, faça escalonamento horizontal do treinamento desses modelos e ofereça previsões de alto desempenho. Converta dados brutos em atributos para informar características importantes desses dados ao aprendizado de máquina e ofereça uma percepção humana para dar suporte ao problema. Por fim, aprenda a incorporar a combinação ideal de parâmetros que produz modelos precisos e generalizados, além de conhecer a teoria para resolver tipos específicos de problemas de aprendizado de máquina. Você passará por todas as etapas do aprendizado de máquina, desde a criação de uma estratégia voltada para aprendizado de máquina até o treinamento, a otimização e a produção de modelos em laboratórios práticos com o Google Cloud Platform. >>> Ao se inscrever nesta especialização você concorda com os Termos de Serviço do Qwiklabs conforme estabelecido na seção de perguntas frequentes. Veja os Termos de Serviço aqui: https://qwiklabs.com/terms_of_service <<<

Mastering DeepSeek.ai: From Fundamentals to Advanced Skills

This Specialization equips learners with the skills to build, integrate, and deploy AI-powered applications and intelligent agents using DeepSeek. Through hands-on projects, learners will explore real-world use cases, automate workflows with tools like n8n and Make.com, and implement advanced techniques such as embeddings, Retrieval-Augmented Generation (RAG), and task-based AI agents. By the end of the program, learners will be able to create scalable, production-ready AI solutions for automation, data processing, and enterprise applications.

Mastering Power BI for Data Analytics & Storytelling

Our Power BI specialization is suitable for individuals who are new to the field, as well as business analysts, database administrators, BI developers, IT professionals, data analysts, data engineers, and data scientists who are seeking to enhance their abilities in designing databases, managing and transforming data, utilizing DAX, creating reports and publishing dashboards, generating and observing AI insights, machine learning, analytic applications, analyzing AI-generated reports, and managing data sources through our carefully curated 5 courses. You will be able to preprocess data, analyze data, create reports and dashboards, and perform AI analytics with image and text data. This specialization will provide you with the comprehensive skill set necessary for data management and visualization. Elevate your knowledge with our specialized Power BI program, a transformative learning experience designed to provide you with the necessary skills for efficient data management and effective visualization.

Semiconductor Characterization

This specialization provides an overview of how semiconductors are characterized. After a review of semiconductor basics, the courses cover electrical, electron beam, ion beam, x-ray, and optical measurement techniques for semiconductor materials and devices. Topics covered include diodes, MOSFETs, microscopy, and spectroscopy. Skills in semiconductor characterization are important for many careers in electrical engineering, including the ever-changing field of electronic device manufacturing.

Fintech Startups in Emerging Markets

The University of Cape Town’s specialization will give aspiring entrepreneurs the tools to understand the technological innovations and challenges the financial services industry faces in the emerging market context. The specialization covers foundations of the changing financial regulations, new technological applications like blockchain or artificial intelligence and design thinking for startups in emerging markets. Through real-world case studies, you will see how this technology can unlock growth and spur innovation and will understand the specific emerging economies environment within which innovation can take place. This specialization is particularly suited for entrepreneurs or aspiring entrepreneurs who want to learn how they can harness the power of fintech or technology in an emerging market. You will work on a business plan for your own fintech or tech-based startup idea in the capstone project comprising a business model canvas and pitch. This allows aspiring entrepreneurs to take a tangible step towards launching their own startup. Watch the course trailer

Information Technology Fundamentals for Everyone

This specialization offers a comprehensive introduction to essential IT concepts. Participants will delve into the Linux operating system, exploring its architecture, commands, and file management. A dditionally, they will gain insights into data networks, the internet, and their underlying technologies, including network topologies, protocols, and internet addressing. Finally, the program will cover cloud computing, providing an understanding of its various models (IaaS, PaaS, SaaS), benefits, challenges, and common cloud services.

JavaScript Security

In this Specialization, we will investigate, prevent, and resolve JavaScript-related attacks and learn how to build safer JavaScript applications. JavaScript is a fundamental technology for building web applications and is also popular for building server-side, desktop, and even mobile applications. Most of this learning Specialization will cover front-end JavaScript; however, we will also consider Node.js. After completing this Specialization, you will understand the diverse threats and protections of the JavaScript world.

Fundamentals of Computing

This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.

Project Management: Tools, Approaches, Behavioural Skills

This specializations is intended for any professional seeking to develop Project Management skills. Through 3 courses, you will cover the main project management approaches, the behavioral aspects, the main tools and techniques to plan and control projects which will prepare you to successfully manage projects.

Cisco Certified DevNet Associate (200-901)

Updated in May 2025. This course now 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. The Cisco Certified DevNet Associate (200-901) course provides learners with the skills needed for network automation, software development, and infrastructure management. By the end of the course, learners will be able to set up development tools, understand key data formats like JSON, XML, and YAML, and manage network configurations and APIs effectively. The course begins with development tool setup in both Linux and Windows environments, followed by exploration of data formats crucial for managing configurations in networked systems. Learners will also dive into software development methodologies like Agile, Lean, and Waterfall to understand project management principles. Next, learners will explore API fundamentals, including HTTP basics, response codes, and authentication. This knowledge allows them to integrate and manage network devices via APIs, a critical skill for network automation tasks. The final modules focus on application deployment, security, and DevOps principles. Learners gain hands-on experience with Docker, continuous integration, and automation tools like Ansible. Ideal for DevNet certification candidates, network engineers, and developers in DevOps or network automation.

Java in Machine Learning

This Specialization equips learners with the skills to design, implement, and deploy machine learning solutions using Java. Starting with core ML concepts like regression, classification, and clustering, learners will apply Java-based tools such as Weka, Smile, Tribuo, and Deeplearning4j to build real-world models. The courses cover data preprocessing, model training, evaluation, deep learning, NLP, and large-scale ML with Spark and Mahout. Learners will also explore advanced topics like federated learning and MLOps practices using Jenkins and GitHub Actions. By the end of the specialization, participants will be able to create and deploy scalable ML applications in enterprise environments with Java.

Startup Entrepreneurship

The Startup Entrepreneurship specialization focuses on issues of Innovation, Creativity and Entrepreneurship. It leads the students through the entire process of creating a start-up from an idea. Part One deals with ideas, and the creative imagination: discovering new ideas, new products, new services, new and better ways to do almost anything. Part Two focuses on how to build a business (entrepreneurship). This course guides the learner through a series of tools and methods that help take an idea and make it happen, in a way that can sustain the business or organization that delivers it to humanity. Use this course to build a solid business or organization around the idea you developed during Part One. Part Three offers Innovation Career Lessons from a Master of proven achievements. During this course you will follow conversations and interviews with Dadi Perlmutter, who until recently was Executive VP of Intel Corporate, the highest ranking Israeli executive of any multinational company.

Metodologías activas para el aprendizaje

Esta especialización le proporcionará herramientas y técnicas para implementar metodologías activas, abarcando desde el aprendizaje basado en proyectos hasta el aula invertida. Al completar estos ocho cursos, usted aprenderá a diseñar y aplicar estrategias innovadoras que fomenten la participación activa y el pensamiento crítico en sus estudiantes, mejorando su rendimiento y motivación.

AWS Solutions Architect - Associate

The AWS Solution Architect Associate specialization is for individuals seeking to develop proficiency in AWS cloud architecture and services. The course also aligns with the AWS Solution Architect Associate exam structure, helping you prepare for the certification exam. This is a 4-course series. The four courses will cover topics such as AWS core services, cloud security, networking, storage solutions, database management, and architectural best practices, which will prepare you to design and implement scalable, highly available, and fault-tolerant systems on AWS. The AWS Architect Certification course is designed from absolute scratch, making it a go-to choice for anyone new to AWS cloud computing. This course has hands-on demos, quizzes, exam simulators for exam practice, and high-quality theory content videos prepared by industry experts. Therefore, this course is all you need to gain a deeper understanding of AWS cloud architecture and ace the AWS Solutions Architect – Associate Certification.

Marketing digital e e-commerce do Google

Prepare-se para uma nova carreira em marketing digital e e-commerce. Tudo em menos de seis meses. Não é necessário ter experiência ou um diploma. Mais do que nunca, as empresas precisam de talentos em marketing digital e e-commerce; 86% dos líderes de empresas indicam que o comércio digital será o caminho mais relevante para o crescimento. Há 218 mil vagas de emprego nos EUA nesta crescente área de atuação, com um salário anual inicial médio de US$ 51.000.¹ Você desenvolverá habilidades para vagas de iniciante e saberá como usar ferramentas e plataformas como Canva, Constant Contact, Google Ads, Google Analytics, Hootsuite, HubSpot, Mailchimp, Shopify e Twitter. Você aprenderá com especialistas do Google sobre o assunto e terá a chance de criar seu próprio portfólio com projetos como personas de clientes e calendários de mídia social. Nos EUA, 75% dos graduados no Certificado de Carreira do Google relatam ver um impacto positivo em sua carreira dentro de seis meses² Confira todos os Certificados de Carreira do Google aqui. Este programa não é confidencial. Todos os recursos do Google Busca ensinados estão disponíveis publicamente. Leia a documentação oficial do Google Busca. ¹Dados salariais do relatório Burning Glass Labor Insight dos EUA (mediana com 0-5 anos de experiência) e dados de vagas para iniciantes. Dados para vagas relevantes aos programas oferecidos (01/04/2021 - 31/03/2022). ²Com base nas respostas da pesquisa com graduados no programa, EUA, 2021

Finance

This Finance specialization is intended for students who want to acquire the analytical and empirical tools needed to understand the functioning of financial markets. Students will learn how investors choose their portfolios and how their choices determine equilibrium asset prices. Students will analyze the role of liquidity in securities markets, and they will understand how security trading is organized and regulated and how it has been reshaped by algorithmic and high frequency trading, and how the trading process affects the formation of asset prices. The program will equip students with the tools and the skills necessary to pursue a career in the financial industry.

AI for Mechanical Engineers

AI for Mechanical Engineers is designed to help mechanical engineering professionals harness the power of artificial intelligence in their practice. With technological advancements rapidly reshaping industries, this series provides a comprehensive foundation in AI applications essential to mechanical engineering domains, empowering you to lead the integration of AI technologies in your field. From optimizing design processes to revolutionizing autonomous systems and addressing energy and biomedical challenges, you will delve into cutting-edge AI methodologies tailored for mechanical engineering contexts. After completing the series, you will be equipped with the knowledge and skills to navigate the evolving landscape of mechanical engineering and drive transformative change through the integration of AI technologies.

Generative AI Cybersecurity & Privacy for Leaders

Are you ready to navigate the intersection of generative AI and cybersecurity? This specialization equips leaders with the knowledge and tools to address the unique cybersecurity risks introduced by AI, while harnessing its potential to strengthen cybersecurity planning and response. What You'll Learn: Cybersecurity Risks and AI-Specific Threats: Gain an in-depth understanding of vulnerabilities unique to generative AI, such as prompt injection, deepfakes, adversarial text, and AI-enhanced phishing attacks. Learn to identify, mitigate, and address these risks while building secure systems. Transforming Cybersecurity Preparedness with Generative AI: Discover how to use GPTs to design hyper-realistic tabletop exercises that simulate complex incidents. Develop adaptive scenarios that train your team to respond to evolving threats, integrate legal and regulatory dynamics, and enhance decision-making under pressure. Effective Prompting for Enhanced Cybersecurity: Master the art of crafting precise and impactful prompts to use GPTs effectively in cybersecurity workflows. Why Take This Specialization? Generative AI represents a paradigm shift in both cybersecurity threats and opportunities. This specialization provides leaders with a strategic primer on managing these challenges, leveraging generative AI to enhance cybersecurity readiness, and fostering a culture of innovation. Lead your organization securely and confidently into the future of generative AI.

Procesamiento de Lenguaje Natural

Este programa especializado te permitirá obtener los conocimientos de nivel básico, intermedio e intermedio superior para el desarrollo aplicaciones basadas en procesamiento de lenguaje natural. Estas aplicaciones podrán ser embebidas en otras aplicaciones o ser utilizadas en forma autónoma. También obtendrás los conocimientos necesarios para construir tu propio entorno de trabajo para el procesamiento de lenguaje natural.

IoT Systems and Industrial Applications with Design Thinking

In this 3-course specialization, learners will dive into the world of IoT systems and their integration with Industrial Automation. This specialization also explores the design thinking process, emphasizing a user-centric approach through empathy, ideation, and prototyping. Lastly, learners will delve into cutting-edge advanced topics such as edge computing, analytics, security, and fusion of IoT with robotics and automation techniques.

Healthcare Marketplace

The first course, Healthcare Marketplace Overview, covers all of the major sub-sectors of the healthcare industry including the physician, hospital, insurer and medical technology markets, including a historical perspective. The second course, Healthcare Delivery Providers, takes an in-depth look at the system of healthcare delivery and the transformations occurring to improve the health of populations and communities. The third course,Pharmaceutical and Medical Device Innovations, gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. The fourth course, Medical Technology and Evaluation, explains how cost-effectiveness analysis is used in the healthcare market to put a monetary value on a life saved through a new innovation. The Capstone brings together key skills engendered from the four courses to create an original medical innovation valuation. The first course teaches the learner to size a population or market. The second course explores whether the healthcare delivery system and the clinicians will or will not find value from deploying a new innovation. The third course identifies the competitive landscape of medical technology innovations to compete or complement. The fourth course teaches how to put a monetary value on the improvement in health resulting from a new innovation. In this way, the suite of four courses supports the capstone experience.

Learn Chinese: HSK Test Preparation

This specialization consists of three elementary language courses, aims to improve your Chinese language skills effectively and systematically. This specialization introduces everyday language and includes activities to practice all four language skill: conversation, comprehension, reading and writing. You will learn about Chinese culture and basic Chinese Characters more, will possess the ability to further your Chinese language studies.

Swift 5 iOS Application Developer

This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development. Throughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions. By the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.

Generative AI for Product Managers

Be it task automation or user experience personalization, generative AI is revolutionizing how we design and develop products. This specialization will help Product Managers, new and experienced, to become well-versed with generative AI and gain insights on how to leverage this technology to their advantage. The specialization begins with how to distinguish generative AI from discriminative AI. You’ll delve into real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation. Next, you will master generative AI prompts engineering concepts for real-world business uses. Learn about prompt techniques like zero-shot and few-shot, various prompt engineering approaches, and tools including IBM Watsonx and Spellbook. Explore specific generative AI techniques and processes that product managers can use to deliver better products in shorter timeframes. Gain hands-on experience through labs and a final project with generative platforms, tools, and generative AI techniques. You will also apply product management techniques. Learn how you can harness the power of generative AI to improve your ability to launch and deliver products that delight. You will also review successful AI product development case studies. You’ll also explore ethical concerns, necessary for gaining confidence from leadership for your work. Enroll now and gain skills that show you’re ready to harness the power of generative AI.

OWASP Top 10 - 2021

In this learning path, we will look at the OWASP organization and what its purpose is. We will then examine Broken Access Control, Cryptographic Failures, Injection Attacks, Insecure Design and Security Misconfiguration. We’ll use demos, graphics and real-life examples to help you understand the details of each of these risks. We will then examine Vulnerable and Outdated Components, Identification and Authentication Failures, Software and Data Integrity Failures, Security Logging and Monitoring Failures, and Server-Side Request Forgery (SSRF). After we complete our look at the current OWASP Top Ten, we will examine three very relevant security risks that were merged into larger topics in the OWASP Top Ten 2021 list. It’s still important to know the details of how these risks work. We will explore XML External Entities (XXE), Cross-Site Scripting (XSS) and Insecure Deserialization.

Assessing and Managing Secure IoT Applications and Devices

This Specialization is designed for professionals and students seeking a comprehensive understanding of IoT Security. It includes three courses: Foundations of Secure IoT Architecture, Managing IoT Security in Networks, and Securing the IoT Landscape: From Inception to Architecture.

Modeling and Control of Power Electronics

This Specialization is intended for students and engineers seeking to advance skills in the analysis, modeling, and design of high-performance control loops around switched-mode dc-dc, ac-dc and dc-ac power converters. Through five courses, you will cover averaged-switch modeling and simulation techniques, techniques of design-oriented analysis, input filter design, peak and average current-mode control techniques, as well as modeling and control of single-phase power factor correction rectifiers, and inverters for photovoltaic power systems.

Strategic Leadership and Management

Through this 6-course Specialization in Strategic Leadership and Management, you will learn the fundamentals of effectively leading people, teams, and organizations and develop tools to analyze business situations. In addition to building a conceptual framework for leadership, learners will develop and practice strategies for immediate impact. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage both within a single business and across a portfolio of businesses. The specialization culminates in a capstone: a leadership and management plan where you’ll apply what you’ve learned to a business situation. With participation by one or more focal companies, the experiential and hands-on deliverable will provide valuable practice and create value from the perspective of potential employers. This Specialization is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admissions into the program and explore how your Coursera work can be leveraged if accepted into the program here.

Product Development for Technical Managers

In this specialization, learners explore the processes used by successful companies to develop products customers want to buy. They begin by examining product strategy and how companies decide which types of products businesses need to develop. They define the market and business opportunity and how companies create new product concepts to meet this need. Learners also explore the role of product management, including how successful companies execute product planning, maintain a portfolio of product development projects, and integrate advances in technology into the product planning process. Finally, learners examine the tools and design strategies to ensure products have a minimal environmental footprint and other concepts behind the Circular Economy. This specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Software Architecture for Big Data

This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity. This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees 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 Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder