Generative AI
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InterviewLearning path

Interview

Interview preparation across the course: fundamentals, RAG, agents, safety, production and system design.

Lessons
24
Time
13 hours
Modules
6

Skills you will practise

  • LLM fundamentals
  • Tokenization
  • Embeddings
  • Sampling and decoding
  • Model selection
  • Document processing
  • Retrieval
  • Retrieval-augmented generation
  • RAG evaluation
  • Hallucination control
  • Tool calling
  • Agents
  • Model Context Protocol
  • Safety and guardrails
  • Cost and latency
  • Inference and serving
  • Observability
  • LLM evaluation
  • Production operations
  • GenAI system design
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You should know

These lessons are not in this path, but some lessons here build on them.

Modules in this path

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  1. LLM foundations3 lessons 1.5 hours
    1. How LLMs workBeginner 30 min
    2. Tokenization and embeddingsBeginner 25 min
    3. Sampling parameters and the model landscapeBeginner 30 min
    About this module
  2. Retrieval-augmented generation6 lessons 3 hours
    1. RAG architecture and chunkingIntermediate 30 min
    2. The core RAG pipelineIntermediate 30 min
    3. Better retrievalIntermediate 30 min
    4. All RAG typesIntermediate 35 min
    5. RAG evaluation and hallucinationIntermediate 25 min
    6. RAG evaluation in depthIntermediate 30 min
    About this module
  3. Tools and agents3 lessons 1.5 hours
    1. Function and tool callingAdvanced 30 min
    2. Agentic patterns: ReAct, planning and memoryAdvanced 30 min
    3. Model Context Protocol and tool ecosystemsAdvanced 35 min
    About this module
  4. Safety and guardrails2 lessons 50 min
    1. Guardrails, safety and prompt injectionAdvanced 25 min
    2. Limiting blast radius and treating output as untrustedAdvanced 25 min
    About this module
  5. Production: cost, serving and observability5 lessons 2.5 hours
    1. Cost and latency optimizationProduction 30 min
    2. LLM inference and servingProduction 35 min
    3. Observability and eval pipelinesProduction 30 min
    4. Production deployment of RAGProduction 30 min
    5. RAG security, reliability and releaseProduction 25 min
    About this module
  6. GenAI system design5 lessons 4 hours
    1. Designing a RAG QA systemProduction 40 min
    2. Designing an agent productProduction 40 min
    3. Designing content moderation and guardrail systemsProduction 40 min
    4. RAG interview drills and mockProduction 60 min
    5. Coding, project defense and mock roundsProduction 45 min
    About this module