Generative AI

Generative AI is a subset of artificial intelligence that leverages machine learning techniques to generate new content or data. Coursera's Generative AI catalogue helps you understand the complexities of modern machine learning methods, and enables you to design and implement generative models. You'll learn everything from the basic principles of deep learning, designing generative adversarial networks (GANs), to more advanced techniques like Transformer models and Autoencoders. Along the way, you'll gain skills in areas including natural language processing, image and video generation, and synthesizing new data, allowing you to create innovative AI applications and push the boundaries of what's possible in the field of artificial intelligence.
248credentials
12online degrees
1072courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Find the best GenAI course for your goals

  • Skills you'll gain: Google Gemini, Prompt Engineering, Prompt Patterns, Generative AI, Data Validation

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Image Analysis, Large Language Modeling, Prompt Engineering, Physics, Physical Science

  • Status: New

    Skills you'll gain: Prompt Engineering, OpenAI, Responsible AI, LLM Application, Data Ethics, Image Analysis, Application Programming Interface (API), Generative AI, Artificial Intelligence, Natural Language Processing, Large Language Modeling, Computer Vision, Application Deployment, Development Environment

  • Status: Free

    Skills you'll gain: Debugging, Development Environment, Open Source Technology, Integrated Development Environments, Computer Programming Tools, Software Development, Software Development Tools, Artificial Intelligence, Generative AI

  • Status: New

    Skills you'll gain: Google Gemini, Productivity Software, Prompt Engineering, Google Sheets, Google Workspace, Generative AI, Spreadsheet Software

  • Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Collaborative Software, Technical Communication

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Artificial Intelligence, Responsible AI, Data Ethics, Productivity, Microsoft Copilot, AI Personalization, Prompt Engineering, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Applied Machine Learning, Google Cloud Platform, Image Analysis, Unsupervised Learning, Unstructured Data

  • Status: New

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, AI Product Strategy, Data Modeling, Artificial Intelligence, Unstructured Data, Machine Learning, Data Quality, Data Security

  • Skills you'll gain: Big Data, Google Gemini, Data Processing, Identity and Access Management, Google Cloud Platform, LLM Application, Data Pipelines, Generative AI

  • Status: Preview

    Skills you'll gain: Tensorflow, Generative AI, Keras (Neural Network Library), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks

  • Skills you'll gain: Google Gemini, Email Automation, Gmail, Google Workspace, Generative AI