I have been building in AI for the past year, and one of the most frequent questions I get from peers and juniors is, "How do I get started?" To answer that, I began documenting what I’ve learned along the way. From Prompt Engineering and Retrieval-Augmented Generation (RAG) to fine-tuning large language models, deploying AI systems, and working on real-world projects, I’ve organized it all into one comprehensive roadmap.

I truly believe in learning by applying, so the repository is structured in a way that allows you to run any notebook easily. You can dive straight into hands-on projects, experiment with code, and see concepts in action as you learn.

This resource is entirely open source and designed to help anyone interested in AI get started and progress through structured, practical learning. Whether you're a beginner or looking to advance your skills, you’ll find tutorials, insights, and real-world applications to guide you.