Complete Curriculum

4 weeks of comprehensive training from AI fundamentals to production mastery

W1

Week 1: Foundations - The Mental Shift

"Understanding the engine and learning to speak machine language"

20 hours | Days 1-5
  • Day 1: How AI Works & The New Paradigm
    Tokens, embeddings, prediction mechanics - AIM Framework introduction - First AI conversations
  • Day 2: Trust Through Verification
    The Mirage of Correctness - Bug hunting - Building verification checklists
  • Day 3: Context Engineering Mastery
    Context window management - Progressive context building - Playground vs Sandbox
  • Day 4: The Navigator's Discipline
    Scope control - Incremental development - When to pull the handbrake
  • Day 5: Integration & Synthesis
    Week 1 mini project - Building your AI playbook - Personal collaboration style

Week 1 Deliverables

  • Personal AI collaboration manifesto
  • AIM Framework prompt library (10+)
  • Verification checklist
  • Context engineering templates
  • Completed mini project
W2

Week 2: Collaboration + Production Standards

"AI partnership with zero-tolerance quality"

20 hours | Days 6-10
  • Day 6: AI-Driven TDD
    Test imagination before implementation - Red-Green-Refactor with AI - 100% coverage
  • Day 7: The Feedback Loop
    Recursive review - AI reviewing AI - Building reasoning loops
  • Day 8: Advanced AIM & Prompt Libraries
    Template creation - Chain-of-thought - Building reusable patterns
  • Day 9: MCP and External Integrations
    Model Context Protocol - Building MCP servers - Connecting AI to tools
  • Day 10: Workflow Integration
    CI/CD with AI - Automation pipelines - Week 2 capstone project

Week 2 Deliverables

  • Personal prompt library (20+ templates)
  • Solution documentation library
  • AI-driven TDD project
  • MCP server implementation
  • Workflow automation tool
W3

Week 3: Production Standards

"Measured, ethical, sustainable AI collaboration"

20 hours | Days 11-15
  • Day 11: Zero Tolerance Standards
    Complete or nothing - No TODOs - Production-ready from line 1
  • Day 12: API Verification & Testing Rigor
    No fictional APIs - Real method signatures - 95%+ coverage mandate
  • Day 13: Architecture Protection
    Maintaining boundaries - Necessary complexity - Resisting oversimplification
  • Day 14: Performance & Scale
    10x optimizations - Zero-allocation patterns - Benchmarking discipline
  • Day 15: Integration & Reality Check
    Production feature delivery - Quality gates - Week 3 capstone

Week 3 Deliverables

  • Production standards checklist
  • API verification tool
  • Architecture protection guidelines
  • Performance optimization patterns
  • Production-ready capstone project
W4

Week 4: Integration, Leadership & Capstone

"Synthesis and team transformation"

20 hours | Days 16-20
  • Day 16: Productivity Measurement
    Baseline establishment - ROI calculation - Metrics dashboard
  • Day 17: Cost & Token Management
    Token optimization - Budget management - Cost-effective strategies
  • Day 18: Ethics, Security & Boundaries
    Data sanitization - Security policies - Professional responsibility
  • Day 19: Tool Selection & Iteration Mastery
    Claude vs GPT vs Copilot - The 4-pass method - Personal style development
  • Day 20: Final Capstone & Certification
    Domain-specific patterns - Final retrospective - Certification exam

Week 4 Deliverables

  • Productivity dashboard with metrics
  • Cost management system
  • Security & ethics policy
  • Tool selection framework
  • Final capstone project

Complete Transformation

From understanding how AI predicts from embedding space to shipping production-ready code. From basic prompts to professional AI collaboration. From individual developer to certified AI-augmented engineer.

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