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
1075courses

Find the best GenAI course for your goals

  • Status: New

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, ChatGPT, Artificial Intelligence

  • Status: Free Trial

    Skills you'll gain: Rust (Programming Language), ChatGPT, Authentications, Generative AI Agents, Back-End Web Development, Web Servers, Databases, OpenAI, Code Review, Web Applications, API Gateway, Command-Line Interface, Generative AI, LLM Application, Artificial Intelligence, Development Environment, Automation, Large Language Modeling, Unit Testing, Maintainability

  • Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Data Processing, Natural Language Processing

  • Status: Free

    Skills you'll gain: Unit Testing, Code Review, Software Development Tools, Test Automation, Software Documentation, Maintainability, Web Applications, Application Development, Generative AI, Software Development, Jest (JavaScript Testing Framework), Javascript, ChatGPT, GitHub

  • Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Tensorflow, Prompt Engineering, Artificial Intelligence, Machine Learning, Cloud Infrastructure, Data Processing, Feature Engineering

  • Skills you'll gain: Multimodal Prompts, Metadata Management, Document Management, Image Analysis, Text Mining, Generative AI, Large Language Modeling

  • Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing

  • Skills you'll gain: React.js, ChatGPT, Cascading Style Sheets (CSS), Generative AI, Development Environment, OpenAI, Microsoft Visual Studio, LLM Application, Secure Coding, Web Development Tools, Node.JS, Prompt Engineering, Javascript, Restful API, API Design, Debugging

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Multimodal Prompts, Generative AI, LLM Application, Prompt Engineering, Application Programming Interface (API), Software Installation

  • Skills you'll gain: Google Gemini, Generative AI, Generative AI Agents, Flutter (Software), LLM Application, Google Cloud Platform, Mobile Development, Prompt Engineering, Application Development

  • Skills you'll gain: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality

  • Skills you'll gain: Google Gemini, Multimodal Prompts, Query Languages, Data Manipulation, Data Store, Metadata Management, Text Mining, Cloud API, Generative AI, Google Cloud Platform, Image Analysis, Cloud Computing, Artificial Intelligence