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  2. Generative Ai

Generative AI Courses

Generative AI courses can help you learn how models create text, images, and other outputs using patterns learned from data. You can build skills in prompt design, model evaluation, and understanding how generative systems behave across tasks. Many courses introduce tools such as Python libraries, APIs, or model interfaces that support experimenting with generation and applying core concepts.

Popular Generative AI Courses and Certifications


  • I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Tool Calling, Agentic systems, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, Responsible AI, Embeddings, Large Language Modeling, AI Integrations, Software Development

    4.6 stars, 1.2K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.6 (1.2K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • A

    Amazon Web Services

    AWS Generative AI Developer Advanced

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Personally Identifiable Information, Dashboard Creation, Token Optimization, Generative AI Agents, Responsible AI, AI Workflows, Generative AI, Agentic systems, Enterprise Architecture, API Design, API Gateway, Performance Tuning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Intelligence, Cloud Platforms, Machine Learning

    Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Generative AI Agents, AI Personalization, ChatGPT, Mobile Development, AI literacy, Software Design, Anthropic Claude, AI Integrations, Personalized Campaigns, Software Architecture, Machine Learning Methods, Artificial Intelligence, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Continuous Integration, Software Development, Application Design

    4.7 stars, 12K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.7 (12K) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4 stars, 394 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (394) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • Unlock 3 months of Google AI Pro at no extra cost today.

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  • I

    IBM

    Generative AI for NLP with PyTorch Capstone Project

    Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Natural Language Processing, Hugging Face, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Machine Learning, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • What brings you to Coursera today?

  • I

    IBM

    RAG and Agentic AI Capstone Project

    Skills you'll gain: Model Context Protocol, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Generative AI Agents, AI Orchestration, Agentic Workflows, Embeddings, JSON, Agentic systems, Vector Databases, Unstructured Data, System Testing

    4.4 stars, 35 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.4 (35) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Build AI Agents with Enterprise Databases

    Skills you'll gain: Model Context Protocol, AI Integrations, Tool Calling, AI Security, Generative AI Agents, Databases, Embeddings

    Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    Edureka

    AI Agent Orchestration and Scaling

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, Artificial Intelligence, Prompt Engineering, Generative AI, Memory Management

    Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    The Chief AI Officer's Handbook

    Skills you'll gain: AI Security, AI Product Strategy, Responsible AI, Strategic Leadership, Business Leadership, Technology Roadmaps, Artificial Intelligence, Business Strategies, Strategic Thinking, Milestones (Project Management), Agile Project Management, Compliance Management, Data Management, Security Controls, Artificial Intelligence and Machine Learning (AI/ML), Governance, Ethical Standards And Conduct, Data Governance, Team Building, Innovation

    3.3 stars, 8 reviews, Advanced, Course, 3 - 6 Months

    ★ 3.3 (8) · Advanced · Course · 3 - 6 Months

  • P

    Packt

    Deploying, Evaluating, and Scaling Production AI Systems

    Skills you'll gain: LangChain, LangGraph, Agentic Workflows, AI Security, Generative AI, OpenAI, Application Deployment, Generative AI Agents, Performance Tuning, Model Evaluation, Scalability, Model Context Protocol, Python Programming

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • E

    Edureka

    Developing MCP-Powered Agentic AI Systems

    Skills you'll gain: Model Context Protocol, Agentic Workflows, AI Workflows, LangGraph, Agentic systems, Scalability, Interoperability, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), LangChain, Systems Architecture, Prompt Engineering, Artificial Intelligence, Generative AI, Google Gemini, Application Programming Interface (API), Python Programming, Performance Analysis

    Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • M

    Microsoft

    Microsoft Account Manager with Generative AI

    Skills you'll gain: Key Performance Indicators (KPIs), Proposal Development, Solution Selling, Business Writing, Responsible AI, Regulatory Compliance, Productivity Software, Consultative Approaches, Consultative Selling, Performance Analysis, Customer Relationship Management (CRM) Software, Account Management, Financial Management, Financial Data, Law, Regulation, and Compliance, Negotiation, Administrative Support, Sales Process, Content Management, Generative AI

    4.4 stars, 8 reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.4 (8) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
1234…22

Best Generative AI courses from IBM

Top-rated Generative AI courses offered by IBM on Coursera.

  1. 1
    IBM RAG and Agentic AI
    IBMAdvanced3 - 6 Months4.6(1,165)IBM
  2. 2
    Generative AI for Mobile App Developers
    IBMAdvanced3 - 6 Months4.7(12,301)IBM
  3. 3
    IBM AI Enterprise Workflow
    IBMAdvanced3 - 6 Months4.4(394)IBM

Best Generative AI certificate programs

Earn a certificate in Generative AI from top universities and companies.

  1. 1
    AWS Generative AI Developer Advanced
    Amazon Web ServicesAdvanced3 - 6 Months2.3(3)Professional Certificate
  2. 2
    Microsoft Account Manager with Generative AI
    MicrosoftAdvanced3 - 6 Months4.4(8)Professional Certificate

Frequently Asked Questions about Generative Ai

Generative AI is a type of artificial intelligence that can create new content, such as text, images, code, summaries, or ideas, based on patterns learned from data. In learning settings, it often includes topics like large language models, prompting, responsible use, automation, and business applications. Courses on this page, such as IBM’s Generative AI: Introduction and Applications, Google Cloud’s Introduction to Generative AI, and DeepLearning.AI’s Generative AI for Everyone, can help you build a practical foundation.‎

Generative AI is used by people in many roles, including software developers, data professionals, product managers, marketers, business leaders, educators, and operations teams. Developers may use it to support coding tasks, while leaders may use it to evaluate business use cases, productivity workflows, and responsible adoption. Coursera offers role-focused options such as IBM’s Generative AI for Software Developers, IBM’s Generative AI for Executives and Business Leaders, and Google Cloud’s Generative AI Leader.‎

Helpful starting skills for generative AI include basic digital literacy, comfort using web-based tools, and a general understanding of data, software, or business workflows. You do not always need advanced math or programming to begin, especially with introductory courses designed for broad audiences. Courses like Generative AI for Everyone by DeepLearning.AI and Introduction to Generative AI by Google Cloud can help you learn the core ideas before moving into more technical or role-specific topics.‎

Skills that complement generative AI include prompt writing, critical thinking, data literacy, programming, cloud computing, automation, product management, and responsible AI practices. These skills can help you evaluate outputs, design better workflows, and apply AI tools in a thoughtful way. If you want to connect generative AI to practical work, options like Vanderbilt University’s Generative AI Automation, IBM’s Generative AI Fundamentals, and Google Cloud’s Generative AI Leader can support different learning goals.‎

A good way to start learning generative AI is to begin with an introductory course that explains key concepts, common applications, and responsible use. From there, you can choose a path based on your goals, such as software development, automation, business strategy, or leadership. On Coursera, beginner-friendly starting points include Generative AI for Everyone from DeepLearning.AI, Generative AI: Introduction and Applications from IBM, and Introduction to Generative AI from Google Cloud.‎

Yes. You can start learning generative ai on Coursera for free in two ways:

  1. Preview the first module of many generative ai courses at no cost. This includes video lessons, readings, graded assignments, and Coursera AI (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in generative ai, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Strong beginner courses for generative AI are usually those that explain the basics clearly and do not assume deep technical experience. Good examples on this page include Generative AI for Everyone by DeepLearning.AI, Introduction to Generative AI by Google Cloud, Generative AI: Introduction and Applications by IBM, and Generative AI Fundamentals by IBM. These courses can help you understand what generative AI can do, where it is useful, and how to approach it responsibly before moving into more specialized learning.‎

Generative AI courses typically cover core concepts, common applications, prompt techniques, responsible AI considerations, productivity use cases, and how the technology fits into business or technical workflows. More specialized courses may focus on software development, automation, leadership, or applying AI in organizations. On Coursera, the selection includes broad introductions from IBM, Google Cloud, and DeepLearning.AI, along with focused options like IBM’s Generative AI for Software Developers and Vanderbilt University’s Generative AI Automation.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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