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.
239credentials
11online degrees
1072courses

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Find the best GenAI course for your goals

  • Skills you'll gain: Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Natural Language Processing, Real Time Data, Software Architecture

  • Status: Free Trial

    Skills you'll gain: Infrastructure as Code (IaC), Responsible AI, Generative AI, DevOps, CI/CD, DevSecOps, Jenkins, Terraform, Software Documentation, Kubernetes, Prompt Engineering, Automation, Innovation, Productivity

  • Status: New
    Status: Free Trial

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Generative AI, Tool Calling, ChatGPT, Generative AI Agents, Responsible AI, OpenAI, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Large Language Modeling, Data Pipelines, Generative AI, Data Processing, Machine Learning, Applied Machine Learning, Scalability, Continuous Monitoring

  • Status: New
    Status: Preview

    Skills you'll gain: Canva (Software), No-Code Development, Google Gemini, Lead Generation, Content Creation, Email Marketing, Generative AI, Marketing Strategies, ChatGPT, Social Media, Digital Marketing, TikTok, Instagram, Product Design, Artificial Intelligence, Social Media Strategy, Web Design and Development

  • Status: New

    Skills you'll gain: Generative AI Agents, Generative AI, AI Product Strategy, LLM Application, Customer experience improvement, Agentic systems, AI Personalization, Google Cloud Platform, Artificial Intelligence, Prompt Engineering, Tool Calling, Organizational Strategy, Innovation, Responsible AI

  • Status: Free

    DeepLearning.AI

    Skills you'll gain: LLM Application, Large Language Modeling, Performance Tuning, Generative AI, Generative Model Architectures

  • Status: Preview

    Skills you'll gain: Education Software and Technology, FinTech, Video Production, Generative AI, Content Creation

  • Skills you'll gain: Google Cloud Platform, Cloud Computing, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods

  • Status: Free Trial

    Skills you'll gain: Generative AI Agents, OpenAI, Code Review, API Gateway, Command-Line Interface, Generative AI, LLM Application, Rust (Programming Language), Artificial Intelligence, Key Management, Application Programming Interface (API), Prompt Engineering, Software Technical Review, Verification And Validation, Development Testing, Unit Testing, Debugging

  • Status: Preview

    Skills you'll gain: LLM Application, Prompt Engineering, Large Language Modeling, Prompt Patterns, Google Gemini, Generative AI

  • Skills you'll gain: LLM Application, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Generative AI, Open Source Technology, Cross Platform Development, Application Programming Interface (API), Machine Learning