Hybrid · 15 Oct 2025 - 31 Oct 2025
Learn a fast, tool-agnostic system to turn vague asks into decision-ready outputs in any AI chat tool (ChatGPT, Claude, Gemini). Learn the core of prompt engineering in a few hours of committed learning. Then use proven frameworks—and AI-assisted practice—to level up your skills. This course is designed around that approach.
Why this course is different
System over scripts: a repeatable method (pre-flight + persona/audience + formatting + iteration), not a random prompt list.
Work outputs, not theory: produce exec snapshots, team updates, customer notes, and structured data you can reuse.
Tool-agnostic & safe: everything works in any AI chat tool, with data-sensitivity and hallucination controls baked in.
What you’ll learn
Use a simple pre-flight (Role, Audience, Context, Task, Constraints) to design reliable prompts every time.
Apply persona & audience techniques to control tone, depth, and format.
Steer models with few-shot and negative examples; avoid off-topic replies.
Use reasoning prompts (step-by-step, self-check) for clearer, more accurate results.
Format outputs for work: labeled summaries, bullet updates, tables & JSON.
Run a fast iteration loop (R.A.C.T.C pre-flight + AI-assisted critique/edit) to measurably improve result
Spot & reduce hallucinations using context bounds, cite-as-you-go, and self-check prompts.
Work safely: set truth bounds, avoid risky inputs, and align with workplace policies.