Complete Curriculum

6 weeks of comprehensive training from AI fundamentals to organizational leadership

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 Techniques

"Advanced patterns for sustainable AI partnership"

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

"Zero tolerance for shortcuts"

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: Professional Context & Sustainability

"Sustainable, measured, ethical AI collaboration"

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: Industry Applications
    Domain-specific patterns - Mid-course retrospective - Week 4 capstone

Week 4 Deliverables

  • Productivity dashboard with metrics
  • Cost management system
  • Security & ethics policy
  • Tool selection framework
  • Domain-specific prompt library
W5

Week 5: Autonomous Systems & Advanced Architecture

"AI teammates that plan, act, and collaborate"

20 hours | Days 21-25
  • Day 21: Agent Architectures
    ReAct pattern - Agent memory - Tool integration - Autonomous decision-making
  • Day 22: Multi-Agent Systems
    Specialized agents - Communication protocols - Conflict resolution
  • Day 23: Task Orchestration
    Dependency graphs - Intelligent scheduling - Parallel execution
  • Day 24: Skill Composition
    Reusable skills - Skill registry - Composition patterns - Versioning
  • Day 25: Integration & Week Project
    Complete autonomous system - Production deployment - Week 5 capstone

Week 5 Deliverables

  • ReAct agent implementation
  • Multi-agent collaboration system
  • Task orchestrator
  • Skill library (10+ skills)
  • Autonomous development system
W6

Week 6: Leadership, Mastery & Transformation

"From individual excellence to organizational impact"

20 hours | Days 26-30
  • Day 26: Team Adoption & Change Management
    Stakeholder mapping - Objection handling - 30-60-90 day transformation plan
  • Day 27: Real-World Emergency Simulation
    Production crisis scenarios - AI-assisted incident response - Emergency playbooks
  • Day 28: Failure Case Studies
    Learning from failures - Pattern recognition - Prevention strategies
  • Day 29: Final Capstone Project
    Synthesis of all 6 weeks - Production system - Portfolio piece
  • Day 30: Graduation & Beyond
    Final presentations - The AI Engineer's Oath - Certification - Alumni network

Week 6 Deliverables

  • Team transformation roadmap
  • Emergency response playbook
  • Failure prevention system
  • Final capstone project
  • Leadership training materials

Complete Transformation

From understanding how AI predicts from embedding space to leading organizational AI adoption. From basic prompts to autonomous multi-agent systems. From individual user to certified leader.

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