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Fatima Al-Rashid

CND-1006 · AI Solutions Architect · 3.5 yrs · Ph.D. Computational Linguistics

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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