Cross-Model Mastery — The Prompt Engineering Path

What you'll learn

• Compare Claude, GPT, and Gemini response patterns on the same prompt
• Translate a prompt that works on one model so it lands on another
• Choose the right model for tone, structured output, reasoning, or refusal-heavy tasks
• Recognise where each model 'listens hardest' — system prompt vs. user message
• Use structured-output features across vendors (JSON mode, function calling, tool schemas)
• Decide between reasoning/thinking modes and standard modes per task
• Plan a model fallback strategy with a verified comparison report

What's included

Video Lessons

—

Interactive Exercises

—

Charts & Infographics

Included

Quizzes

6

Certificate

Included

Course Content

1. 01

   Tone & instruction-following across models

   4 lessons · 18 min

   • Why the same prompt produces three outputsNo signup4 min
   • Locked until you enrollStrict-rule following — three models, four rules5 min
   • Locked until you enrollTone differences — warmer without losing intent5 min
   • Locked until you enrollChoosing the right model per task4 min
   • Quiz: Module 1: Tone & instruction-following across models
2. 02

   System-prompt behavior — where each model listens hardest

   4 lessons · 18 min

   • Locked until you enrollSystem-prompt loyalty under user pressure4 min
   • Locked until you enrollRefusal shapes — borderline requests5 min
   • Locked until you enrollFaithful summarisation — count the embellishments5 min
   • Locked until you enrollThe translation guide — porting a prompt between vendors4 min
   • Quiz: Module 2: System-prompt behavior across models
3. 03

   Structured output across vendors

   4 lessons · 17 min

   • Locked until you enrollJSON-only across vendors — three failure shapes5 min
   • Locked until you enrollFunction calling parity — three APIs, one capability4 min
   • Locked until you enrollTool schemas — vendor-specific differences4 min
   • Locked until you enrollStructured-output failure modes by vendor4 min
   • Quiz: Module 3: Structured output across vendors
4. 04

   Reasoning modes — when to think, when to skip

   4 lessons · 18 min

   • Locked until you enrollWhat 'thinking' actually means across models4 min
   • Locked until you enrollA logic puzzle across three base models5 min
   • Locked until you enrollWhen extended thinking actually pays back4 min
   • Locked until you enrollCreative vs reasoning — different model strengths5 min
   • Quiz: Module 4: Reasoning modes — when to think, when to skip
5. 05

   Local vs frontier — the prompt budget

   4 lessons · 16 min

   • Locked until you enrollThe open-weight landscape — what is actually shippable4 min
   • Locked until you enrollPrompt budget — how long instructions degrade4 min
   • Locked until you enrollWhen few-shot saves you on smaller models4 min
   • Locked until you enrollThe fallback strategy — composing multiple models4 min
   • Quiz: Module 5: Local vs frontier — the prompt budget
6. 06

   Capstone — port one prompt across 8 models

   4 lessons · 17 min

   • Locked until you enrollThe capstone — port one prompt across 8 models5 min
   • Locked until you enrollThe comparison rubric — scoring eight outputs4 min
   • Locked until you enrollBuilding the comparison report4 min
   • Locked until you enrollFraming the recommendation4 min
   • Quiz: Module 6: Capstone — port one prompt across 8 models