AI & ML Interviews
Ace your AI & ML interviews. Comprehensive prep for ML/AI Engineer, LLM Engineer, AI Agent Engineer, Data Science, and MLOps roles.
Interview-Ready AI Engineer prepared for positions at Anthropic, OpenAI, Google, Meta, and AI-first companies.
- 01ML/AI Career Fundamentals: Resume, Portfolio & Job Search
- 02ML/AI Engineer Interviews: Master Technical & Behavioral Rounds
- 03LLM Engineer Interviews: Master Prompt Engineering, Fine-tuning & Production
- 04AI System Design for Interviews
- 05AI Agent Engineer Interviews: Design, Build & Deploy Production Agentic Systems
- 06Data Science Interviews: Statistics, SQL & Business Cases
- + 1 more
The full roadmap.
ML/AI Career Fundamentals: Resume, Portfolio & Job Search
Launch your ML/AI career. Build a standout resume, portfolio, and LinkedIn profile. Master networking and job search strategies for landing your first ML/AI role.
ML/AI Engineer Interviews: Master Technical & Behavioral Rounds
Complete interview preparation for ML/AI engineering roles. Master Python coding challenges, ML algorithms, evaluation metrics, system trade-offs, and behavioral questions. Includes real-world case studies, STAR method, and salary negotiation strategies.
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).
AI System Design for Interviews
Master AI system design interviews. Learn to architect scalable LLM applications, design multi-agent systems, and ace technical interviews at top AI companies.
AI Agent Engineer Interviews: Design, Build & Deploy Production Agentic Systems
Master AI agent engineering interviews for senior roles at Anthropic, OpenAI, Google, Meta, and AI-first companies. Go beyond theory — design AND build five production agentic systems from scratch. Covers tool-calling architectures, RAG-powered agents, multi-agent orchestration, autonomous task execution, and production safety guardrails. Each module pairs a design lesson with a hands-on lab where you implement a working agent system.
Data Science Interviews: Statistics, SQL & Business Cases
Master data science interviews with proven strategies for statistics, SQL, A/B testing, and business case questions. Learn frameworks used at Meta, Google, Netflix, and top tech companies. Includes 50+ practice problems with detailed solutions.
MLOps Engineer Interviews: Infrastructure, Pipelines & Production ML
Master MLOps engineer interviews with comprehensive preparation covering Kubernetes orchestration, ML pipeline design, model serving infrastructure, monitoring systems, and CI/CD for machine learning. Includes real interview questions from FAANG, unicorns, and ML-first companies.
Run a mock interview
Practice with Nerdo as your interviewer. We tailor the questions to this path and grade your performance at the end.
Start with course one.
The first lesson unlocks 50 XP. Most learners finish the opening course in a single weekend.
Start Learning