Priya Sharma

Curriculum coverage by module

First-attempt mastery signal

Strong areas

• • Day 5 — Prompt Engineering Patterns
• • Day 15 — Reranking & Context Compression
• • Day 22 — Multi-Agent Orchestration
• • Day 23 — Model Context Protocol
• • Day 26 — LLM-as-a-Judge & Rubrics
• • Day 28 — Observability & Tracing

Needs deeper validation

• • Day 3 — APIs, Async & Streaming Basics (4 attempts)
• • Day 11 — Vector Databases in Production (4 attempts)
• • Day 19 — Memory & State Management (4 attempts)
• • Day 10 — Retrieval & Matching Engine (3 attempts)
• • Day 20 — Retrieval Agents (3 attempts)
• • Day 31 — Capstone: End-to-End AI Product (3 attempts)

Unvalidated (skipped)

• • Day 1 — AI Engineering Landscape
• • Day 4 — How LLMs Work: Tokens & Context
• • Day 14 — Query Rewriting & Expansion
• • Day 18 — Agent Loops & Planning
• • Day 21 — Multi-Agent Design Patterns
• • Day 24 — Human-in-the-Loop Workflows

Skipped missions are explored, not assumed weak.