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Fatima Al-Rashid
CND-1006 · AI Solutions Architect · 3.5 yrs · Ph.D. Computational Linguistics
Completion
52%
First-try rate
44%
Avg attempts
2.13
Consistency
100%
Curriculum coverage by module
First-attempt mastery signal
Attempts by topic (higher = needs validation)
Strong areas
- • Day 20 — Retrieval Agents
- • Day 21 — Multi-Agent Design Patterns
- • Day 23 — Model Context Protocol
- • Day 24 — Human-in-the-Loop Workflows
- • Day 26 — LLM-as-a-Judge & Rubrics
- • Day 29 — Serving & Scaling AI Services
Needs deeper validation
- • Day 1 — AI Engineering Landscape (4 attempts)
- • Day 15 — Reranking & Context Compression (4 attempts)
- • Day 18 — Agent Loops & Planning (4 attempts)
- • Day 31 — Capstone: End-to-End AI Product (4 attempts)
- • Day 19 — Memory & State Management (3 attempts)
- • Day 5 — Prompt Engineering Patterns (2 attempts)
Unvalidated (skipped)
- • Day 2 — Python for AI Systems
- • Day 3 — APIs, Async & Streaming Basics
- • Day 4 — How LLMs Work: Tokens & Context
- • Day 6 — Structured Outputs & JSON Schema
- • Day 7 — Model Selection & Cost Tradeoffs
- • Day 8 — Text Chunking Strategies
- • Day 9 — Embeddings & Semantic Similarity
- • Day 10 — Retrieval & Matching Engine
Skipped missions are explored, not assumed weak.
Recommended interview topics
- Day 1 — AI Engineering LandscapeFoundations of AI Engineering
- Day 15 — Reranking & Context CompressionRetrieval-Augmented Generation
- Day 18 — Agent Loops & PlanningAgents & Tool Use
- Day 2 — Python for AI SystemsFoundations of AI Engineering
- Day 3 — APIs, Async & Streaming BasicsFoundations of AI Engineering
- Day 20 — Retrieval AgentsAgents & Tool Use