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  • 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 Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export

    ★ 4.7 (101K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Sponsored
    Sponsored
  • I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    ★ 4.6 (4.6K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • K

    KodeKloud

    Generative AI Engineering with OpenAI API and AWS Models

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
  • K

    KodeKloud

    Generative AI: OpenAI API and Prompt Engineering

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
  • Unlock 3 months of Google AI Pro at no extra cost today.

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  • G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering, AI literacy, Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Deep Learning, Statistical Machine Learning

    ★ 4.7 (12K) · Beginner · Course · 1 - 4 Weeks

    Category: Top AI Program
    Top AI Program

What brings you to Coursera today?

  • G

    Google Cloud

    Generative AI Leader

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Responsible AI, Generative AI, Google Workspace, Google Cloud Platform, Gemini, Generative Model Architectures, AI Product Strategy, Prompt Patterns, AI Enablement, AI Security, Agentic Workflows, AI literacy, Prompt Engineering Tools, Artificial Intelligence, Cloud Computing, Collaboration

    ★ 4.7 (1.3K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    ★ 4.8 (5.2K) · Beginner · Course · 1 - 4 Weeks

    Category: Top AI Program
    Top AI Program
  • I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, Data Ethics, AI literacy, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

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

    Category: Top AI Program
    Top AI Program
  • A

    Adobe

    Generative AI Content Creation

    Skills you'll gain: Adobe Express, Responsible AI, AI powered creativity, Generative AI, Data Ethics, AI literacy, Graphic Design, Image Quality, Prompt Engineering, Artificial Intelligence, AI Workflows, Creativity, AI Integrations, Verification And Validation

    ★ 4.7 (974) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • V

    Vanderbilt University

    Generative AI Automation

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI Workflows, AI powered creativity, Responsible AI, Data Visualization, Document Management, Ideation, Verification And Validation, Data Presentation, LLM Application, AI literacy, Generative AI, AI Enablement, Risking, Multimodal Prompts, Image Analysis, Artificial Intelligence, Data Compilation

    ★ 4.8 (9.5K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Generative AI Agents, Software Design Documents, Software Design, AI literacy, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Security, Software Engineering, Augmented and Virtual Reality (AR/VR), Model Evaluation

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial

What brings you to Coursera today?

1234…453

In summary, here are 10 of our most popular generative ai courses

  • IBM Generative AI Engineering: IBM
  • Generative AI: Introduction and Applications: IBM
  • Generative AI Engineering with OpenAI API and AWS Models: KodeKloud
  • Generative AI: OpenAI API and Prompt Engineering: KodeKloud
  • Introduction to Generative AI: Google Cloud
  • Generative AI Leader: Google Cloud
  • Generative AI for Everyone: DeepLearning.AI
  • Generative AI Fundamentals: IBM
  • Generative AI Content Creation: Adobe
  • Generative AI Automation: Vanderbilt University

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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