Learning Paths
Structured curricula to guide your ML interview preparation. Pick a path and work through the topics in order.
ML Fundamentals
12h estimated
Build a rock-solid foundation in probability, statistical learning, and core architectures. Start here if you're preparing for your first ML interview.
LLM Engineering
20h estimated
Master the full LLM lifecycle: fine-tuning, alignment, retrieval-augmented generation, agentic systems, and safety. The most in-demand skill set for 2025+ interviews.
Production ML Systems
16h estimated
Design and operate ML systems at scale. Covers serving infrastructure, model compression, evaluation pipelines, and testing harnesses for production reliability.
Deep Learning Frontiers
14h estimated
Explore cutting-edge architectures: attention mechanisms, sparse expert models, and multimodal vision-language systems. For senior roles and research-oriented positions.