Lucas Meyer

Curriculum coverage by module

First-attempt mastery signal

Strong areas

• • Day 1 — AI Engineering Landscape
• • Day 2 — Python for AI Systems
• • Day 3 — APIs, Async & Streaming Basics
• • Day 6 — Structured Outputs & JSON Schema
• • Day 9 — Embeddings & Semantic Similarity
• • Day 10 — Retrieval & Matching Engine

Needs deeper validation

• • Day 8 — Text Chunking Strategies (4 attempts)
• • Day 13 — RAG Architecture Fundamentals (4 attempts)
• • Day 23 — Model Context Protocol (4 attempts)
• • Day 24 — Human-in-the-Loop Workflows (4 attempts)
• • Day 25 — Evaluation Metrics for LLM Apps (4 attempts)
• • Day 26 — LLM-as-a-Judge & Rubrics (4 attempts)

Unvalidated (skipped)

• • Day 4 — How LLMs Work: Tokens & Context
• • Day 7 — Model Selection & Cost Tradeoffs
• • Day 11 — Vector Databases in Production
• • Day 12 — Metadata Filtering & Hybrid Search
• • Day 16 — Grounding, Citations & Hallucination Control
• • Day 28 — Observability & Tracing

Skipped missions are explored, not assumed weak.