Artificial IntelligenceIntermediate
Practical Prompt Engineering & LLM Apps
Go from lucky prompts to reliable AI features you can ship.
Taught by Asha Karki · AI Product Engineer
What you'll learn
- Write prompts with a reliable role–task–format–constraints structure
- Get clean, parseable JSON out of a model every time
- Ground answers in your own documents with RAG
- Evaluate prompt quality instead of eyeballing it
- Estimate and control token cost in production
- Ship a small, well-scoped AI feature end to end
About this course
Anyone can get a good answer from AI once. This course teaches you to get good answers reliably — and to wire models into small, useful applications. You'll learn a repeatable prompting method, structured outputs, retrieval over your own data, evaluation, and cost control.
Course content
8 lessons- 1The anatomy of a reliable promptA structure you can reuse for anything.Preview
- 2Show, don't tell: examples and few-shotThe fastest way to raise quality.
- 3Structured outputs you can parseGetting clean JSON every time.
- 4Grounding with retrieval (RAG)Make the model an expert on your data.
- 5Chaining steps and toolsBreaking big tasks into reliable pieces.
- 6Evaluating prompt qualityStop eyeballing, start measuring.
- 7Cost, latency and limitsMake it fast and affordable.
- 8Ship a small AI featurePut it all together.