Sofia Ramirez

Curriculum coverage by module

First-attempt mastery signal

Strong areas

• • Day 2 — Python for AI Systems
• • Day 7 — Model Selection & Cost Tradeoffs
• • Day 11 — Vector Databases in Production
• • Day 25 — Evaluation Metrics for LLM Apps
• • Day 28 — Observability & Tracing

Needs deeper validation

• • Day 4 — How LLMs Work: Tokens & Context (4 attempts)
• • Day 27 — Guardrails, Safety & Prompt Injection (4 attempts)
• • Day 31 — Capstone: End-to-End AI Product (4 attempts)
• • Day 12 — Metadata Filtering & Hybrid Search (3 attempts)
• • Day 13 — RAG Architecture Fundamentals (3 attempts)
• • Day 1 — AI Engineering Landscape (2 attempts)

Unvalidated (skipped)

• • Day 6 — Structured Outputs & JSON Schema
• • Day 8 — Text Chunking Strategies
• • Day 9 — Embeddings & Semantic Similarity
• • Day 10 — Retrieval & Matching Engine
• • Day 14 — Query Rewriting & Expansion
• • Day 15 — Reranking & Context Compression
• • Day 16 — Grounding, Citations & Hallucination Control
• • Day 17 — Tool Calling Fundamentals

Skipped missions are explored, not assumed weak.