Prompt Engineering Essentials
Learn how LLMs actually work, then master zero-shot, few-shot, chain-of-thought, and system prompts. Build a reusable prompt library.
"Write a system prompt that extracts invoice data with 95% accuracy"
4 Interactive Sessions
Short, interactive sessions — watch it work, steer it, then build it yourself. Go deeper anytime with the full code walkthrough.
- 1
The context window is the program
The model only ever sees one thing — the context window. Your instructions are one part of it, and naming a role, task, context and format is how you make that part unambiguous.
- 2
Make it think — reason before it answers
Ask a model to reason step by step before answering and it gets hard, multi-step problems right — but skip it for simple lookups.
- 3
Make it behave the same every time
A system prompt is set once, behind the scenes — it gives the model a role, rules, and a format that govern every reply.
- 4
Output you can ship — and a library to reuse
Force clean, structured output (JSON/tables) you can pipe into code, and package your best prompts into a reusable, tested library.
Production patterns you'll master
Synthetic data included
- Sample business emails
- Product descriptions
- Customer reviews
- Invoice data (CSV)
- Meeting transcripts
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
All the code
Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to build your prompt engineering essentials?
First course free. $20 per course after that.