Daniel Okafor

Curriculum coverage by module

First-attempt mastery signal

Strong areas

• • Day 3 — APIs, Async & Streaming Basics
• • Day 4 — How LLMs Work: Tokens & Context
• • Day 5 — Prompt Engineering Patterns
• • Day 12 — Metadata Filtering & Hybrid Search
• • Day 13 — RAG Architecture Fundamentals
• • Day 25 — Evaluation Metrics for LLM Apps

Needs deeper validation

• • Day 14 — Query Rewriting & Expansion (4 attempts)
• • Day 15 — Reranking & Context Compression (4 attempts)
• • Day 20 — Retrieval Agents (4 attempts)
• • Day 21 — Multi-Agent Design Patterns (4 attempts)
• • Day 2 — Python for AI Systems (3 attempts)
• • Day 17 — Tool Calling Fundamentals (3 attempts)

Unvalidated (skipped)

• • Day 1 — AI Engineering Landscape
• • Day 7 — Model Selection & Cost Tradeoffs
• • Day 8 — Text Chunking Strategies
• • Day 10 — Retrieval & Matching Engine
• • Day 11 — Vector Databases in Production
• • Day 19 — Memory & State Management
• • Day 22 — Multi-Agent Orchestration
• • Day 27 — Guardrails, Safety & Prompt Injection

Skipped missions are explored, not assumed weak.