Master practical prompt engineering you can use at work—today.
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.

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.

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.

After this course, you’ll be able to

• Turn the same facts into an executive snapshot (5 labels, ≤75 words) or a team update (owners/dates) on demand.

• Build a personal prompt library and reuse templates across projects.

• Deliver clearer drafts faster and collaborate confidently with AI.

Turn the same facts into an executive snapshot (5 labels, ≤75 words) or a team update (owners/dates) on demand.

Build a personal prompt library and reuse templates across projects.

Deliver clearer drafts faster and collaborate confidently with AI.

Who it’s for

Busy professionals and non-coders—PMs, marketers, analysts, ops, HR, educators, freelancers, founders—anyone who wants reliable AI outputs fast.

What’s included

Short, action-packed lessons • Live demos • Hands-on practice • Downloadable prompt cards, checklists, and templates.

Coming soon: Additional modules with new demos and assignments will be added in the next 2 weeks.

Bring one real task from your job and an AI chat tool. By the end, you’ll have a proven workflow to go from vague ask → audience-ready output in minutes, not hours.