COIBM · on Coursera
Generative AI: Foundation Models and Platforms
Beginner English Professional CertificateFREE
What you'll learn
Understand the building blocks of generative AI
Explain transformers, GANs, VAEs, and diffusion models
Compare major models (GPT, Llama, Granite, Flan)
Explore platforms like IBM watsonx and Hugging Face
Run hands-on generative-AI labs
Place foundation models in real applications
This course includes
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor
RA
Rav Ahuja
Coursera instructor
— learners— courses — instructor rating
Delivered by IBM's Skills Network with Rav Ahuja, who leads many of IBM's popular AI and data courses. The approach is structured and platform-aware, reflecting IBM's enterprise generative-AI tooling.
Requirements
- No strict prerequisites; some technical curiosity helps
Who this course is for
- Learners wanting the technical side of generative AI
- Professionals evaluating generative-AI platforms
- Anyone in IBM's generative-AI specialization
About this provider
CO
Coursera
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Frequently asked questions
It's the more technical course in IBM's generative-AI series — it covers the underlying models (transformers, GANs, diffusion) rather than staying at a high overview level, while still aiming to be accessible.
No strict prerequisites — it's described as suitable for any background — but some technical curiosity helps with the deeper concepts.
You can audit the full course free on Coursera. A certificate requires a subscription.
Yes — it includes labs that let you explore generative AI through IBM's watsonx environment and related platforms.
That kind of course is a non-technical overview; this one goes into the actual foundation models and platforms, so it's a step deeper.