FoundationalModule 1: AI Fluency & Environment Setup
Level the mixed cohort: shared mental model, the AI Fluency 4D framework, and a working dev environment before the build begins.
3 lessons
AI Fluency & Environment Setup ▼- Welcome & how the exam works
- The AI Fluency 4D Framework
- The four building blocks & when to reach for each
- ⚡ Lab 1.1: Environment setup & first API call
Domain 4Module 2: Claude API & Prompting Foundations
Get fluent with a single Claude request: messages, system prompts, structured output, and few-shot. This is the base everything else builds on.
4 lessons · 2 labs
Claude API & Prompting Foundations ▼- Accessing Claude with the API
- Prompt engineering fundamentals
- Explicit criteria & reducing false positives
- Measuring quality: prompt evaluation
- ⚡ Lab 2.1: Prompting drill: clarity, structure, few-shot
- ⚡ Lab 2.2: Structured output with the API
Domain 2Module 3: Tool Use & MCP Fundamentals
Tools are the atom of every agentic system, and MCP is how they connect. Design reliable tools and build your first MCP server.
4 lessons · 3 labs
Tool Use & MCP Fundamentals ▼- Tool use with Claude
- Designing effective tool interfaces
- Structured error responses
- MCP fundamentals
- ⚡ Lab 3.1: Differentiate and split tools
- ⚡ Lab 3.2: Structured error responses
- ⚡ Lab 3.3: Configure MCP servers
Domain 1Module 4: Your First Agent: The Agentic Loop
Now that you have tools, wire up the loop that drives them. Build a single agent that reasons, calls tools, and finishes correctly.
3 lessons · 2 labs
Your First Agent: The Agentic Loop ▼- The agentic loop lifecycle
- Loop control & anti-patterns
- Workflows vs agents
- ⚡ Lab 4.1: Build your first agentic loop
- ⚡ Lab 4.2: Decomposition drill
Domain 3Module 5: Claude Code Configuration & Workflows
Drive Claude Code like a pro: CLAUDE.md hierarchy, skills, plan mode, hooks and CI/CD integration.
4 lessons · 3 labs
Claude Code Configuration & Workflows ▼- CLAUDE.md hierarchy & rules
- Skills, commands & permission modes
- Steering long sessions
- Automate & integrate
- ⚡ Lab 5.1: CLAUDE.md hierarchy & path-scoped rules
- ⚡ Lab 5.2: Skills, commands & plan mode
- ⚡ Lab 5.3: CI/CD integration
Domain 4Module 6: Structured Output & Prompt Engineering (Deep)
Return to Domain 4 with the harder machinery: guaranteed schemas via tool_use, validation-retry, batch, and multi-pass review.
4 lessons · 2 labs
Structured Output & Prompt Engineering (Deep) ▼- Structured output via tool_use
- Validation, retry & feedback loops
- Batch processing
- Multi-instance & multi-pass review
- ⚡ Lab 6.1: Extraction pipeline with tool_use & validation-retry
- ⚡ Lab 6.2: Batch processing & multi-pass review
Domain 1Module 7: Multi-Agent Orchestration & Hooks
The advanced payoff: orchestrate subagents that call tools, with gates and hooks, once the fundamentals are solid.
4 lessons · 3 labs
Multi-Agent Orchestration & Hooks ▼- Coordinator–subagent architecture
- Spawning & parallelism
- Enforcement: gates & hooks
- Handoff & session management
- ⚡ Lab 7.1: Coordinator with parallel subagents
- ⚡ Lab 7.2: Prerequisite gate & enforcement hooks
- ⚡ Lab 7.3: Structured handoff & sessions
Domain 5Module 8: Context Management & Reliability
Make everything production-grade: preserve facts across long sessions, escalate well, propagate errors, and calibrate confidence.
4 lessons · 3 labs
Context Management & Reliability ▼- Long-context preservation
- Escalation & ambiguity
- Error propagation
- Confidence & provenance
- ⚡ Lab 8.1: Long-context preservation
- ⚡ Lab 8.2: Escalation & error propagation
- ⚡ Lab 8.3: Confidence & provenance
Capstone · All 5 DomainsModule 9: Iberia Airline Booking System (Capstone)
Build a complete agentic airline booking system end-to-end: flight search, booking validation, and customer communication agents, applying every domain in one production project.
6 lessons · 4 labs
- Capstone overview: building a complete agentic airline booking system end-to-end
- System architecture design: the agents, tools, and MCP servers in the Iberia system
- Flight search agent: multi-step tool use with external API integration
- Booking validation agent: structured output, schema enforcement, error handling
- Customer communication agent: prompt engineering, context management, reliability
- Deployment architecture: packaging, configuration, and production readiness
- ⚡ Lab 9.1: Architecture design: full system diagram for the Iberia booking system
- ⚡ Lab 9.2: Flight search agent: tool use, error handling, and structured output
- ⚡ Lab 9.3: Booking & validation: schema-validated confirmation output
- ⚡ Lab 9.4: Full system integration: connect all agents, run end-to-end tests
Exam PrepModule 10: Exam Prep & Practice Simulators
The final stretch: consolidate every domain, rehearse all six production scenarios, and run full timed practice-exam simulators until you are exam-ready.
3 lessons · 3 simulators
- Domain review & blueprint sweep: all 5 domains against every task statement
- Scenario reasoning workshop: whiteboard all 6 production scenarios
- Exam-day strategy & Pearson VUE logistics
- ⚡ Simulator 10.1: Domain drill sims: targeted question sets per domain with instant explanations
- ⚡ Simulator 10.2: Full timed mock exam: 60 questions, 120 minutes, 4 of 6 scenarios (exam conditions)
- ⚡ Simulator 10.3: Second full timed mock: aim for 850+ before booking the real exam