Generative AI: Foundation Models and Platforms
IBM · View on Coursera ↗
Taught by IBM Skills Network Team
Information TechnologyBusinessData ScienceComputer Science
About the course
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 VA
The dissent
The most-upvoted critical review (4 votes, 2.0★).
“The course merely introduces important basics using a few buzzwords without going into any depth. Instead, there is plenty of advertising for IBM Watsonx. The practical exercises do not go very well with the content previously taught. All in all, a strange, not particularly helpful mix.”
Coursera's 4.7 comes from 360 ratings. Of those, 3.1% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗