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IBM

Generative AI: Foundation Models and Platforms

Curious about generative AI and the building blocks behind it? This course introduces you to the core concepts and models that power generative AI, teaching you how AI generates text, images, and code. Whether you're an enthusiast or practitioner, you'll build a strong foundation in this rapidly developing field. You will explore the technology behind generative AI, including deep learning, large language models (LLMs), and foundation models. Discover how different models work, from GANs and VAEs to transformers and diffusion models. You will also learn how pre-trained models can be adapted and used to power AI applications. Whether you’re exploring AI for the first time or looking to expand your knowledge, you will gain a deeper understanding of how AI can be used to build practical applications. Put your knowledge into practice through hands-on labs using the IBM Generative AI Classroom and IBM watsonx. You will experiment with models such as IBM Granite, OpenAI GPT, Google FLAN, and Meta Llama to explore real-world use cases. Moreover, hear from industry experts who share insights into generative AI is being used today and what it can do. By the end of this course, you'll be able to: - Explain the fundamentals of generative AI and describe the core models that power it. - Describe foundation models and understand their role in generative AI. - Explore pre-trained models and how they can be used to develop AI-powered applications. - Navigate tools and platforms such as IBM watsonx and Hugging Face. Join over 55,000 learners who have enrolled in this course! Earn a shareable certificate to showcase your new generative AI knowledge on LinkedIn, your resume, or your CV.

Status: Generative AI
Status: Generative Model Architectures
BeginnerCourse7 hours

Featured reviews

Reviewed Apr 9, 2024

A very good course but very difficult to cover as much ground in a few hours. For example, I could easily this course spread over 10 hours might be more effective.

Reviewed Dec 9, 2023

Great, to-the-point content and great tools to get familiar with the concepts taught.

Reviewed May 13, 2024

Gives a required info on the current existing AI Foundation models and platforms. Quite useful to explore based on the usecase for the client

Reviewed Feb 16, 2025

This course all the basics for AI and it is interesting too

Reviewed Oct 13, 2025

Easy to understand but more practical examples are required

Reviewed Mar 22, 2024

Some course materials are biased toward the IBM platform

Reviewed Jan 9, 2024

The AI course offers a brief overview of key concepts. Some videos feel rushed, focusing more on tool names than substantive learning. It's a decent starting point but lacks depth on specific tools.

Reviewed May 9, 2024

Very complex content that is delivered concisely and with quality. Thank You!

Reviewed Mar 10, 2025

Very thorough overview. I feel as though I can walk into any room and comprehend discussions surrounding the utility of generative AI.

Reviewed Aug 11, 2025

too many concepts to remember for learners not in related industry. suggest to give a structural chart to show relationships of those concepts as quick simple take aways

Reviewed Dec 2, 2023

Informative and provides a great introduction to employ generative AI models in different aspects of life

Reviewed Dec 11, 2023

You will learn things I didn't know in 5 years of dealing with AI, awesome stuff!!

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