Prompt Engineering — talk to AI like a pro
The same model can produce mediocre or brilliant results depending on how you ask. Through the daily work of a communications officer, learn the anatomy of a good prompt, few-shot prompting, guided reasoning, constraints and reusable templates.
Course objectives
By the end of this course, you will know how to
- Dissect the anatomy of a prompt that works
- Use few-shot prompting (learning by example)
- Guide the reasoning (chain-of-thought)
- Enforce a role, constraints and an output format
- Build reusable templates and debug a bad prompt
The running example
You're helping Sofia, a communications officer at a small company. Sofia uses AI every day, but her results are disappointing: too generic, off-brand, sometimes wrong. She figures "AI just isn't that good."
In reality, it's her way of asking that's holding everything back. Chapter by chapter, you'll teach her to write precise prompts — and watch the quality of her results take off, without changing models.
Curriculum — 10 chapters
01
Anatomy of a prompt that works
quiz · 8 sections
02
Few-shot: learning by example
quiz · 6 sections
03
Guiding the reasoning
quiz · 7 sections
04
Role, constraints & format
quiz · 6 sections
05
Templates & debugging
quiz · 7 sections
06
System prompts & advanced personas
quiz · 6 sections
07
Chaining prompts: multi-step workflows
quiz · 7 sections
08
Structured data: extract, classify, normalize
quiz · 7 sections
09
Evaluating and testing your prompts
quiz · 8 sections
10
Capstone: your professional prompt library
quiz · 8 sections