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Want to learn Artificial Intelligence from scratch in 2026 but confused about where to start? This video is your complete beginner-to-advanced AI roadmap using GitHub. In this video, I’ve shared the best GitHub repositories used by top AI engineers, researchers, and developers worldwide. These repositories will help you understand AI fundamentals, Deep Learning, Machine Learning, Generative AI, LLMs, and ML System Design step by step. Whether you’re a student, beginner, self-learner, or aspiring AI engineer, this list will save you months of confusion. 🚀 Best GitHub Repositories to Learn AI: 1️⃣ Neural Networks: Zero to Hero – Andrej Karpathy Learn neural networks from scratch with clear intuition and coding. 2️⃣ Hugging Face Transformers Build and understand models like ChatGPT, BERT, and modern LLMs. 3️⃣ FastAI Fastbook The fastest way to go from beginner to real-world AI applications. 4️⃣ Made With ML Learn how to build production-ready ML systems, not just models. 5️⃣ Machine Learning System Design Understand how companies like Google, Netflix, and Uber scale ML. 6️⃣ Awesome Generative AI Guide A curated roadmap for Generative AI, tools, and LLM ecosystems. 7️⃣ Dive Into Deep Learning A complete deep learning textbook with theory + code. 📌 How to Get All Links? 👉 Comment “AI” below, and I’ll share all GitHub repository links in the comments. 🔔 Important 👉 Subscribe to the channel for: Daily AI & ML content Coding tutorial Project ideas for jobs AI roadmap updates Because the future belongs to builders, not watchers 🚀