1️⃣ microsoft/generative-ai-for-beginners
A beginner-friendly 21-lesson course by Microsoft that teaches how to build real generative AI apps—from prompts to RAG, agents, and deployment.
2️⃣ rasbt/LLMs-from-scratch
Learn how LLMs actually work by building a GPT-style model step by step in pure PyTorch—ideal for deeply understanding LLM internals.
3️⃣ DataTalksClub/llm-zoomcamp
A free 10-week, hands-on course focused on production-ready LLM applications, especially RAG systems built over your own data.
4️⃣ Shubhamsaboo/awesome-llm-apps
A curated collection of real, runnable LLM applications showcasing agents, RAG pipelines, voice AI, and modern agentic patterns.
5️⃣ panaversity/learn-agentic-ai
A practical program for designing and scaling cloud-native, production-grade agentic AI systems using Kubernetes, Dapr, and multi-agent workflows.
6️⃣ dair-ai/Mathematics-for-ML
A carefully curated library of books, lectures, and papers to master the mathematical foundations behind machine learning and deep learning.
7️⃣ ashishpatel26/500-AI-ML-DL-Projects-with-code
A massive collection of 500+ AI project ideas with code across computer vision, NLP, healthcare, recommender systems, and real-world ML use cases.
8️⃣ armankhondker/awesome-ai-ml-resources
A clear 2025 roadmap that guides learners from beginner to advanced AI with curated resources and career-focused direction.
9️⃣ spmallick/learnopencv
One of the best hands-on repositories for computer vision, covering OpenCV, YOLO, diffusion models, robotics, and edge AI.
🔟 x1xhlol/system-prompts-and-models-of-ai-tools
A deep dive into how real AI tools are built, featuring 30K+ lines of system prompts, agent designs, and production-level AI patterns.