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Generative AI: Foundation Models and Platforms

Beginner English SpecializationFREE
Our recommendation
The more technical course in IBM's generative-AI line-up on Coursera. It covers the building blocks behind modern generative models — deep learning and LLMs, plus GANs, VAEs and diffusion models — and the platforms used to build with them. A good next step after IBM's introductory GenAI courses for people who want more depth without a full ML specialization.

Good for: A more technical understanding of how generative models work.

Less suitable if: You are brand new to AI or want a non-technical overview.

Skills you'll gain

Generative AIFoundation modelsLLMsGANsVAEsDiffusion models

Is this course right for you?

A good fit if you…

You have the GenAI basics and want more depth
You are comfortable with technical concepts
You want to understand model building blocks

Consider something else if you…

You are brand new to AI
You want a non-technical overview
You want a full ML specialization

Requirements: Some AI/ML familiarity helps; IBM's intro GenAI courses are a good precursor.

Realistic time: Around 8–12 hours.

About this course

Generative AI: Foundation Models and Platforms is the more technical course in IBM's generative-AI line-up. It covers the building blocks behind modern generative models — deep learning and LLMs, plus GANs, VAEs, transformers, and diffusion models — then looks at the platforms and named models that put them to work, including IBM watsonx, Hugging Face, GPT, Llama, and Granite.

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

What it costs

You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available.

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Is the certificate recognised?

A IBM certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.

Last updated

Generative AI moves quickly; check the course is reasonably current, as specific platforms and models date faster than the underlying concepts.

Instructor

RA
Rav Ahuja
Coursera instructor

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.

About this provider

CO
Coursera
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Frequently asked questions

Yes, more so than IBM's introductory GenAI courses — it covers the building blocks like GANs, VAEs, diffusion models and LLMs.
Yes, you can audit it free; the certificate needs a Coursera subscription or Coursera Plus.
Some AI/ML familiarity helps; IBM's intro GenAI courses are a good precursor.
It is concept-focused with some technical depth, but it is not a full hands-on build course.
Around 8–12 hours.
Free
to audit
Enroll now