Advanced Prompt Engineering for Everyone
Vanderbilt University · View on Coursera ↗
Taught by Dr. Jules White
Data ScienceBusiness
About the course
Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into power
The dissent
The most-upvoted critical review (1 vote, 3.0★).
“Good kickstart, surely for everyone, BUT not advanced at all, I fear it wasted my time.”
Coursera's 4.8 comes from 841 ratings. Of those, 1.7% 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 ↗