Introduction to Prompt Engineering
Learn important prompt engineering techniques to build use cases with LLMs.
Last updated: June 2026

This course includes
Course Curriculum
10 modules • 47 lessons • 1h 27m total
7 lessons • 5m
7 lessons • 6m
5 lessons • 6m
7 lessons • 18m
7 lessons • 13m
4 lessons • 6m
4 lessons • 12m
3 lessons • 8m
1 lessons • 5m
2 lessons • 3m
What Students Say
This course helped me understand how prompts actually affect model outputs. Before this, I was just trial and erroring. Now I approach prompt writing more like debugging with structure and logic.
Rahul Jain
Co-Founder & CEO at Pixeldust
This course is meticulously designed, reflecting Elvis's deep expertise and attention to detail. The exercises are relevant, engaging, and challenging, making the learning process both enjoyable and highly effective.
Praveen
Senior Software Engineer at Google
Elvis expertly ties in the latest developments when answering questions, provides pointers to the foremost resources, and shares his experience working with many of the tools and frameworks out there.
Yevgeniy S. Meyer, Ph.D.
Chief Scientist at Gretel
The best prompt engineering course out there.
Taeha
AI Engineer at Marker Inc.
It was clear that Elvis was at the cutting edge of best practices. Not only did we learn about prompting techniques, but all the different tools used across the stack. I've already applied the learnings to R&D at our organization.
Hannah
Director of Clinical Product at Moneta Health
Elvis had great examples to depict the importance of the concepts he was teaching! Kudos to his patience running office hours right after a 2.5 hour non-stop class.
Apoorva
Machine Learning Engineer at Apple
