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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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    390 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, ChatGPT, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, AI Product Strategy, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.7K reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    518 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Advanced Creative Thinking and AI: Tools for Success

    Skills you'll gain: Design Thinking, Creative Thinking, Creativity, Brainstorming, Cognitive flexibility, Ideation, Innovation, Artificial Intelligence, Critical Thinking, Sustainable Design, Prototyping

    4.6
    Rating, 4.6 out of 5 stars
    ·
    98 reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data

    3.3
    Rating, 3.3 out of 5 stars
    ·
    48 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Petroleum Engineering with AI Applications

    Skills you'll gain: Oil and Gas, Petroleum Industry, Hazard Analysis, Safety Standards, Environmental Resource Management, Energy and Utilities, Environmental Regulations, Environment Health And Safety, Big Data, Plant Operations and Management, Waste Minimization, Process Engineering, Chemical Engineering, Risk Analysis, Environmental Engineering, Failure Mode And Effects Analysis, Data Management, Pump Stations, Data Processing, Process Control

    4.6
    Rating, 4.6 out of 5 stars
    ·
    173 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Get Started with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Security & Ethical Hacking: Attacking Web and AI Systems

    Skills you'll gain: Open Web Application Security Project (OWASP), Cyber Security Assessment, Exploitation techniques, Server Side, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Scanning, Responsible AI, Data Security, Cyber Attacks, Security Awareness, Generative AI, Large Language Modeling, Personally Identifiable Information, Business Logic

    Build toward a degree

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks

    4.1
    Rating, 4.1 out of 5 stars
    ·
    121 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    348 reviews

    Advanced · Specialization · 3 - 6 Months

Generative AI learners also search

advanced generative ai
generative ai projects
beginner generative ai
generative adversarial networks
multimodal ai
artificial intelligence
agentic ai
deeplearning.ai
1234…10

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

  • IBM RAG and Agentic AI: IBM
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Generative AI for Mobile App Developers: IBM
  • MLOps | Machine Learning Operations: Duke University
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Advanced Creative Thinking and AI: Tools for Success: Imperial College London
  • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
  • Petroleum Engineering with AI Applications: L&T EduTech
  • Get Started with Python: Google
  • Security & Ethical Hacking: Attacking Web and AI Systems: University of Colorado Boulder

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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