Production-Ready GitHub Repos to Master ML, MLOps, LLMs, RAG & AI Agents
Hey folks,
If you're serious about working with AI in production — not just reading papers or playing with toy models — this is for you.
Shantanu Ladhwe’ve had hands-on experience building end-to-end AI products: from model training to deploying AI agents. Along the way, he curated this 13 GitHub repositories that he personally found practical, insightful, and actually usable in real-world applications.
Whether you're starting your ML journey or scaling GenAI agents into production, these repos will fast-track your learning.
Let’s dive in 👇
3 Must-Know Repos for Machine Learning (ML)
0. [ML] Machine Learning Notebooks
Hands-on ML from the iconic O’Reilly book (Scikit-Learn, Keras, TensorFlow — 3rd Ed.). Everything is covered from regression to deep nets with practical notebooks.
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1. [ML] Machine Learning for Beginners (by Microsoft)
The best place to start if you're new to ML. Beginner-friendly Jupyter notebooks with rich visuals and real examples.
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2. [ML] Learn PyTorch for Deep Learning
A tried-and-true guide to PyTorch — might be slightly dated but the concepts are gold. Great for understanding the PyTorch ecosystem.
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2 Repos That’ll Make You a Better MLOps Engineer
3. [MLOps] Made With ML
Covers the entire ML lifecycle — from data versioning to CI/CD, testing, deployment, and monitoring. A complete playbook for production ML.
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4. [MLOps] Designing Machine Learning Systems
Code + diagrams + real-world summaries from the widely respected O’Reilly book. Learn how to architect scalable ML systems.
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2 Hands-On LLM Repos You Can’t Miss
5. [LLM] Hands-On Large Language Models
Official repo for the Hands-On LLM book. Covers everything from LLM basics to fine-tuning and inference pipelines.
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6. [LLM] LLM Course
Colab-based course on the full LLM lifecycle: from prompt design to deployment. Includes roadmaps and practice notebooks.
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2 Must-Know RAG Resources (Retrieval-Augmented Generation)
7. [RAG] Prompt Engineering Guide
A highly curated knowledge base on prompt engineering. Think: guides, frameworks, prompt patterns, and case studies.
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8. [RAG] RAG Techniques
Hands-down one of the most detailed and comprehensive guides on building RAG pipelines, including vector search, chunking, and optimization.
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4 AI Agent Repos You Can Start Using Today
9. [AI Agent] AI Agents for Beginners
Beginner-friendly course with 11 lessons, zero-fluff, and practical use cases. Perfect if you're new to agent-based systems.
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10. [AI Agent] GenAI Agents
Hands-on tutorials to build multi-agent workflows. Learn to build tool-using agents and create full GenAI pipelines.
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11. [AI Agent] Agents Towards Production
A goldmine if you're serious about productionizing AI agents. Clear breakdown of stack components like planning, memory, tools, and control.
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12. [AI Agent] Awesome Generative AI
The ultimate knowledge hub: 100s of curated tools, repos, papers, and tutorials across GenAI. Bookmark this.
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