Marcus Bell

Curriculum coverage by module

First-attempt mastery signal

Strong areas

• • Day 3 — APIs, Async & Streaming Basics
• • Day 6 — Structured Outputs & JSON Schema
• • Day 9 — Embeddings & Semantic Similarity
• • Day 12 — Metadata Filtering & Hybrid Search
• • Day 13 — RAG Architecture Fundamentals
• • Day 16 — Grounding, Citations & Hallucination Control

Needs deeper validation

• • Day 5 — Prompt Engineering Patterns (4 attempts)
• • Day 24 — Human-in-the-Loop Workflows (4 attempts)
• • Day 27 — Guardrails, Safety & Prompt Injection (4 attempts)
• • Day 2 — Python for AI Systems (3 attempts)
• • Day 14 — Query Rewriting & Expansion (2 attempts)
• • Day 29 — Serving & Scaling AI Services (2 attempts)

Unvalidated (skipped)

• • Day 1 — AI Engineering Landscape
• • Day 4 — How LLMs Work: Tokens & Context
• • Day 7 — Model Selection & Cost Tradeoffs
• • Day 8 — Text Chunking Strategies
• • Day 10 — Retrieval & Matching Engine
• • Day 11 — Vector Databases in Production
• • Day 15 — Reranking & Context Compression
• • Day 19 — Memory & State Management

Skipped missions are explored, not assumed weak.