Prompt Engineering Masterclass
Go beyond basic prompting. This comprehensive masterclass covers everything from zero-shot and few-shot techniques to advanced agent system prompt design. You'll learn the 12 Laws of System Prompts used by production AI agents, problem-solving frameworks like MECE decomposition and 5WHY analysis, decision-making models including game theory and prospect theory, and advanced techniques like RAG, function calling, and multi-agent collaboration. Includes production-ready templates for auth, payments, and full-stack features.
Created by
Jason Zhou · Founder, AI Builder Club
Course Outline
Updated Templates (2026)
Production-ready prompt templates for auth, payments, database schemas, and full-stack features.
Core Prompting Techniques
Master the foundational prompting patterns: zero-shot, few-shot, chain-of-thought, and advanced reasoning strategies.
Problem-Solving Frameworks
Structured frameworks for breaking down complex problems and generating better LLM outputs.
Decision-Making Models
Mental models and decision frameworks applied to prompt engineering for better reasoning.
System Prompt Design (12 Laws)
The 12 laws of system prompt design for building reliable, consistent AI behavior.
Advanced Techniques
Cutting-edge prompt engineering techniques for production AI systems.