Cracking AI Engineering Job Interviews
About This Course
Stop Memorizing Algorithms. Start Designing Systems.
Most candidates fail AI system design interviews because they treat them like coding problems. To land a role at Meta, Google, or a top startup, you need to think like a technical leader.
Master the 3×3 Method—the framework that will help you transform vague prompts into production-ready architectures.
What you’ll master in weeks, not months:
THINK Like a Senior Engineer: Frame problems using product logic and business metrics, not just code.
BUILD Scalable Systems: Architect 25 real-world scenarios, including Recommendation Engines, Enterprise RAG, and Fraud Detection.
DEFEND Your Decisions: Demonstrate maturity by justifying trade-offs in latency, cost, fairness, and safety.
How the lessons are structured:
Each of the 25 questions below is self-contained and includes all the definitions you need to understand the lesson.
Where helpful, you’ll also find small prototype code snippets. You won’t use this code in an interview, but it will deepen your understanding of the concept—so you can answer with more confidence.
Don't just pass the interview. Prove you’re ready to lead.
Course Curriculum
Introduction to AI ML System Design
The 3×3 Method transforms overwhelming AI interviews into a manageable nine-step process. Named for its three phases—each containing three steps—this framework mirrors how smart engineers actually build production systems: Think (frame the problem), Build (architect the solution), and Defend (own the lifecycle). Unlike scattered checklists, the 3×3 structure reduces cognitive load under pressure by grouping related tasks into logical blocks. If you forget a detail, simply move to the next phase. This isn't a rigid script—it's a flexible mental map that lets you lead the conversation confidently, demonstrating the structured thinking, proactive scoping, and trade-off analysis that distinguish great engineers from good ones at top tech companies.
Lessons (4)
Ranking & Recommendation Systems
Lessons (7)
Search, RAG & Multi-Modal Systems
Lessons (6)
Trust, Safety & Red Teaming
Lessons (5)
Financial, Fraud & Anomaly Detection
Lessons (3)
ML Ops, Evaluation & Large-Scale Deployment
Lessons (4)
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