Module 02 — Prompt Engineering Mastery

Module 02 · 8 video lessons · lifetime access

Two people open the same chatbot and get wildly different results. The difference is instruction design. This module walks through the mechanics of a good prompt — clarity, structure, framing, follow-up — and gives you the classic frameworks working teams actually use, including BRTR.

What you will learn

• Write instructions that are specific enough to control the output, without over-engineering them
• Apply the classic prompt frameworks — BRTR, role framing, and structured task briefs
• Make long outputs stable and repeatable so you can reuse a prompt as a small production tool
• Ask meta-questions and know when to push back, follow up, and re-aim the model
• Recognise where the model's limits come from, and which workarounds genuinely help
• Set up prompt engineering and retrieval (RAG) inside a company, with worked examples

Curriculum

1. 2.1 Clear Instructions and the Three-Step Start
2. 2.2 Asking Questions, Thinking Models, and Playing with AI
3. 2.3 LLM Limitations and How to Improve Results
4. 2.4 Framework Prompts: BRTR and Classic Frameworks
5. 2.5 Effective Methods to Improve Prompt Quality
6. 2.6 Meta-Questions and Effective Follow-Ups
7. 2.7 Structured Prompts for Reliable Output
8. 2.8 Prompt Engineering and RAG: Enterprise Use Cases

Who it is for

Anyone who uses an AI assistant daily and wants output they can hand to a client. Pairs well with Module 01 if you are new.

Details

• Format: pre-recorded video lessons, streamed on any device
• Language: Mandarin audio, English lesson titles and outline
• Access: lifetime, including future updates to the module
• Payment: one-time purchase, no subscription
• Guarantee: 14-day money-back, no questions asked