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.
243credentials
8online degrees
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Find the best GenAI course for your goals

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, ChatGPT, AI Product Strategy, Artificial Intelligence, LLM Application, Data Ethics, Prompt Engineering, Computational Logic

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, Business Consulting, Leadership, Consulting, Management Consulting, Responsible AI, Technical Consulting, Customer Insights, Data Ethics, Automation, Data Security

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Mockups, User Interface (UI), User Interface and User Experience (UI/UX) Design, Usability, Software Design, Prompt Engineering, Artificial Intelligence, Prototyping, User Centered Design, Software Architecture, Software Engineering

  • Status: Preview

    Skills you'll gain: Change Management, Organizational Change, Responsible AI, Business Transformation, Generative AI, AI Product Strategy, Organizational Leadership, Workforce Development, Scalability, Innovation, Stakeholder Management, Stakeholder Analysis, Employee Training, Leadership, Strategic Decision-Making, Cross-Functional Collaboration, Communication

  • Status: New
    Status: Free Trial

    Skills you'll gain: AI Personalization, Wireframing, Generative AI, Prototyping, Figma (Design Software), User Interface and User Experience (UI/UX) Design, User Flows, UI Components, Technical Design, Design, Software Design, Software Architecture, Responsive Web Design

  • Status: Free Trial

    Skills you'll gain: LLM Application, Large Language Modeling, Generative AI, Data Ethics, Responsible AI, Prompt Engineering, Information Privacy, Natural Language Processing, Application Development, Data Security

  • Status: New
    Status: Preview

    Skills you'll gain: Email Automation, Marketing Automation, Business Process Automation, OpenAI, ChatGPT, Automation, Performance Tuning, Workflow Management, Generative AI, Scalability, Blogs, Operational Efficiency, Real Time Data, Prompt Engineering, Application Programming Interface (API), Content Creation, Business Planning

  • Status: Preview

    Skills you'll gain: ChatGPT, Generative AI, Responsible AI, Large Language Modeling, Natural Language Processing, Artificial Intelligence, Data Ethics, Technical Communication, Social Sciences, Regulation and Legal Compliance, Economics, Intellectual Property

  • Status: Preview

    Indian Institute of Technology Guwahati

    Skills you'll gain: Microsoft Copilot, Generative AI, GitHub, OpenAI, Software Development Tools, Computer Programming Tools, Microsoft Visual Studio, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Innovation

  • Status: Preview

    Skills you'll gain: Generative AI, Data Storytelling, Data Visualization Software, Interactive Data Visualization, Data Presentation, LLM Application, Data Wrangling, Real Time Data, Dashboard, Large Language Modeling, Prompt Engineering

  • Skills you'll gain: Prompt Engineering, LLM Application, Generative AI, Multimodal Prompts, Application Design, Large Language Modeling, Google Cloud Platform

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus