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Intermediate

LLM Engineer Interviews: Master Prompt Engineering, Fine-tuning & Production

Ace LLM engineering interviews at OpenAI, Anthropic, Meta & top AI companies. Master transformer architecture, prompt engineering, fine-tuning decisions, evaluation metrics, and production systems. Prepare for L5-L6 roles ($200K-$350K+ TC).

50 min10 lessons6 modulesCareer

What you'll learn

  • Explain transformer architecture and attention mechanisms
  • Design production-ready prompt engineering strategies
  • Make informed fine-tuning vs RAG vs prompting decisions
  • Implement LLM evaluation frameworks and metrics
  • Answer LLM system design questions with confidence

Course Content

  1. LLM Fundamentals for Interviews

    3 lessons · 15 min
  2. Prompt Engineering for Interviews

    3 lessons · 15 min
    • Locked until you enrollPrompt Design Patterns: Zero-Shot to Tree of Thoughts5 min
    • Locked until you enrollIn-Context Learning Mechanics5 min
    • Locked until you enrollSystem Prompts and Safety5 min
    • Quiz: Module 2: Prompt Engineering for Interviews
  3. Fine-tuning & Model Selection

    3 lessons · 15 min
    • Locked until you enrollWhen to Fine-tune vs Prompt Engineering5 min
    • Locked until you enrollFine-tuning Methods: LoRA, QLoRA, and PEFT5 min
    • Locked until you enrollModel Selection Strategy5 min
    • Quiz: Module 3: Fine-tuning & Model Selection
  4. LLM Evaluation & Metrics

    1 lesson · 5 min
    • Locked until you enrollEvaluation Metrics and Benchmarks5 min
    • Quiz: Module 4: LLM Evaluation & Metrics
  5. Production LLM Systems

    0 lessons
    • Quiz: Module 5: Production LLM Systems
  6. Company-Specific Prep & Negotiation

    0 lessons
    • Quiz: Module 6: Company-Specific Prep & Negotiation