This Roadmap answers three magical questions — what to study, how to study and from where to study for AI / ML / GenAI roles. Use code AI20 to get 20% discount.

Preparing for AI / ML / GenAI interviews can be overwhelming—too many resources, scattered topics, and unclear roadmaps. This Complete AI-ML Interview Guide & Roadmap solves that problem by bringing everything together in a structured, easy-to-follow format.

With this guide, you will get all resources of:

• ✅ Machine Learning fundamentals: Supervised, Unsupervised, Semi-Supervised, and Evaluation Metrics.
• ✅ Deep Learning: Neural Networks, CNNs, RNNs, Transformers, and beyond.
• ✅ NLP and GenAI: From classical NLP to modern LLMs, RAG, and multimodal AI.
• ✅ Real-world projects lists to strengthen your portfolio and interview case studies.
• ✅ ML System Design—real-world scalable architectures and case studies you must prepare for interview.
• ✅ Topics from Mathematics for ML—Linear Algebra, Probability, Calculus, Statistics and Optimization.
• ✅ Strengthen Coding & DSA skills using curated sheets (LeetCode 150, Striver’s SDE Sheet, NeetCode 150, GFG).
• ✅ Get Study Resources & Links—handpicked courses, books, and tutorials.

Whether you are a beginner or already working in tech, this roadmap ensures you don’t miss a single important concept while preparing for interviews.