Prompt Engineering
Most people get "okay" output from AI. This course gets you to "exactly what I wanted, every time." Prompt engineering is the craft of reliably, repeatably getting exceptional work out of an AI assistant, and it transfers across every tool you will ever use.
How this course is taught: by reps
Prompting is a skill, like writing or negotiating, learned by doing it, not reading about it. So every lesson has hands-on exercises, not just a quiz at the end. Keep an AI assistant open as you go and run the prompts yourself.
The arc
| Movement | What you build |
|---|---|
| Think | Stop treating AI like a search box; operate it like a thinking partner |
| Craft | Turn any vague request into a precise, high-yield prompt |
| Control | Make output trustworthy enough for high-stakes work, or know when you cannot |
| Apply | Produce real assets and walk away with a reusable toolkit |
Think in steps, craft the prompt, control for reliability, apply to real work.
The lessons
- How to Get Exceptional Work Out of an AI Assistant — the mindset shift and a 5-step method
- Decomposition & Prompt Chaining — split a task into a chain of prompts
- Design of a Prompt: Nine Strategies — the core toolkit of levers
- Context & Reference Material — the single highest-leverage skill
- Zero-, One-, and Few-Shot Prompting — steering with examples
- Prompting for Reliability: Controlling Hallucinations — the verification-agent pattern
- Evaluating & Debugging Your Prompts — knowing a prompt is actually good
- Hands-On Use Cases Across Platforms — where prompt design is the difference
- Build Your Own Prompt Library — the thing that makes it stick
Start with How to Get Exceptional Work Out of an AI Assistant.