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Generative AI Courses

Explore generative AI for creating new content. Learn about GANs, creative applications, and AI-generated media.

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Find the best GenAI course for your goals

  • C

    Coursera Project Network

    Generative AI with Vertex AI: Build a customer chatbot

    Skills you'll gain: Cloud API, Google Cloud Platform, Application Programming Interface (API), LLM Application, Generative AI, Natural Language Processing, Data Processing, Jupyter, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Prompt Engineering Generative AI for Marketing & Advertising

    Skills you'll gain: Prompt Engineering, Marketing Design, Generative AI, A/B Testing, Marketing Materials, Advertising, Marketing, ChatGPT, Content Creation, Marketing Strategies, Marketing Analytics, Customer Insights, Social Media Content, OpenAI

    4.5
    Rating, 4.5 out of 5 stars
    ·
    90 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions, Cloud Computing, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    378 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, LLM Application, Application Programming Interface (API), Data Manipulation, Data Processing, Jupyter, Database Development, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    Duke University

    GenAI Basics - How LLMs Work

    Skills you'll gain: Large Language Modeling, Generative AI, Machine Learning, Supervised Learning, Artificial Intelligence, Data Science, Data Modeling

    4
    Rating, 4 out of 5 stars
    ·
    29 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Build a free website with WordPress

    Skills you'll gain: WordPress, Content Management, Web Content, Web Design and Development, Content Creation, Creativity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera Project Network

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    59 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Customer Service with Python: Build a Chatbot using ChatGPT

    Skills you'll gain: ChatGPT, LLM Application, Prompt Engineering, OpenAI, Customer Service, Customer Inquiries, Application Programming Interface (API), User Flows, Test Case, Python Programming, Development Environment, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    94 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots

    Skills you'll gain: OpenAI, LLM Application, Prompt Engineering, Generative AI, Back-End Web Development, Restful API, Server Side, Application Programming Interface (API), Web Development, Web Applications

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Copywriting with ChatGPT: Produce Compelling Copy That Sells

    Skills you'll gain: Copywriting, User Research, Target Audience, Customer Insights, Prompt Engineering, ChatGPT, Marketing Materials, Content Creation, Product Knowledge, Value Propositions, Marketing Communications, Editing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    71 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    Copilot for Beginners: Create a Powerpoint Presentation

    Skills you'll gain: Microsoft Copilot, Microsoft PowerPoint, Presentations, Microsoft Office, Productivity Software, Microsoft 365, Sales Presentations, Prompt Engineering, Microsoft Word, Generative AI, Artificial Intelligence, Content Creation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

Generative AI learners also search

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1234…10

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

  • Generative AI with Vertex AI: Build a customer chatbot: Coursera Project Network
  • Prompt Engineering Generative AI for Marketing & Advertising: Coursera Project Network
  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • GenAI Basics - How LLMs Work: Duke University
  • Build a free website with WordPress: Coursera Project Network
  • Build your first Machine Learning Pipeline using Dataiku : Coursera Project Network
  • Customer Service with Python: Build a Chatbot using ChatGPT: Coursera Project Network
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
  • GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots: Coursera Project Network

Frequently Asked Questions about Generative Ai

Browse the graphic design courses below—popular starting points on Coursera.

  • Graphic Design: Adobe
  • Fundamentals of Graphic Design: California Institute of the Arts
  • Graphic Design: University of Colorado Boulder
  • Graphic Design Theory - Web & Digital Design: Skillshare‎

These beginner-friendly options are designed for those without a technical background or coding experience:

  • Introduction to Generative AI – A short, no-code course from Google Cloud that covers foundational concepts and use cases.
  • Generative AI for Everyone by Andrew Ng – Helps you understand how generative AI works and how it’s being used across industries.
  • Responsible AI for Beginners by Google – Offers accessible guidance on the ethics and risks of using generative models. ‎

The Generative AI: Introduction and Applications course by IBM takes 8 hours to complete and covers topics like:

  • Machine learning
  • Virtual environments
  • Responsible AI

It uses tools such as Java.

On the other hand, the Introduction to Generative AI course by Google Cloud can be completed in 1 hour and emphasizes:

  • Artificial intelligence
  • Deep learning
  • Google Cloud Platform

It uses tools like R.

Both courses explore core topics of generative AI but differ in duration and specific areas of focus. Choose based on your preference for a more in-depth IBM course or a quicker Google Cloud credential.‎

Start by deciding whether you want to understand generative AI concepts, learn how to build models, or apply tools like ChatGPT or DALL·E in your work.

  • For foundational knowledge with real-world applications, try Introduction to Generative AI from the University of Colorado Boulder.
  • To build with large language models (LLMs), explore Generative AI with Large Language Models from DeepLearning.AI and AWS.
  • For creative or business applications, consider How Diffusion Models Work or ChatGPT Prompt Engineering for Developers from DeepLearning.AI and OpenAI.‎
  • A course focuses on a specific skill or topic—for example, LangChain for LLM Application Development helps you build apps with LLMs.
  • A Specialization is a series of courses for deeper expertise—such as Generative AI Engineering with LLMs Specialization by IBM.
  • A Professional Certificate offers end-to-end, career-aligned training—like the AI Product Manager Certificate from Microsoft, which includes coverage of generative AI topics for business.‎

Click here to ask ChatGPT to find the right GenAI course on Coursera for your learning goals.‎

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

  • Preview the first module of many GenAI courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • 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.‎

Generative AI courses on Coursera provide learners with the skills to engage with one of the most innovative areas of artificial intelligence:

  • Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
  • Techniques for creating synthetic data, artworks, and realistic simulations.
  • Application of generative AI in various domains such as music, video, and text.
  • Programming skills to develop generative models using TensorFlow and PyTorch.
  • Ethical considerations in deploying generative AI technologies.
  • Best practices for training and optimizing generative models to ensure quality and efficiency.‎

Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise:

  • Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge.
  • Intermediate learners can improve their understanding of deep learning and start working with generative models.
  • Advanced participants can explore cutting-edge applications and techniques in generative AI.‎

Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits:

  • Professional certificates that signify a foundational understanding and practical skills in generative AI.
  • Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications.
  • Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.‎

Skills in Generative AI open the door to a range of cutting-edge career opportunities:

  • AI Research Scientist, developing new methods and technologies in generative AI.
  • Creative Technologist, integrating AI into digital art, marketing, and entertainment.
  • Machine Learning Engineer, specializing in building and training generative models.
  • Product Developer, using generative AI to innovate product designs and features.
  • Data Scientist, employing generative models for data augmentation and complex analyses.‎
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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