A complete roadmap to become an AI/LLM Engineer in 2026. Free & paid courses, 5 portfolio projects, interview prep, and resources. For software engineers with Python & ML basics who want to break into AI. Covers Transformers, RAG, fine-tuning, agents, LangChain, MLOps, and deployment.

Certified Full-Stack AI-Powered Web Engineer Curriculum – An 18-month program covering MERN stack (MongoDB, Express, React, Node.js), AI/ML integration (OpenAI, LangChain, TensorFlow.js), DevOps, and cloud deployment. Includes hands-on projects, capstone AI-driven app, and career prep (portfolio, interviews, freelancing).

A list of helpful materials used for interview preparation for the Machine Learning Engineer position.

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FAANG-level DSA in Python for ML Engineer prep & SDE interview practice.

Learning roadmap for AI/ML Engineer roles: 7 phases, study schedules, 100+ resources, progress tracking, interview prep. From math to LLMs, RAG, MLOps, and deployment.

🚀 A structured 10-month journey to becoming a GenAI-focused Full-Stack Product Engineer. Includes real-world projects, LLM tools (LangChain, OpenAI), modern web stack (Next.js, FastAPI, Tailwind), ML interview prep, and deployment-ready code. Built to target AI product roles

Resources for Interview Preparation for ML Engineer

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Coding question and problems solved for ml engineer intern and junior level

Interview Preparation Path

AI/ML Interview Prep App — local study tool for AI research scientist and engineer roles

This is a fun side experiment on using generative AI to create a tool that can train + prep ML Engineers for interviews