This page lists learning resources for AI, machine learning and the work around them. The courses section starts with an AI course catalog and a short course on building agents, then adds a video series on MLOps and a repository of ML system design case studies. A hub with guides on LLMs, RAG and agents closes that part. The reading material section is looser. It mixes a RAG tutorial built on Neo4j, roadmap and book links, articles on data versioning and spelling correction, and paper reading notes on Whisper, RLHF and reasoning models. Pick a track from the headings and work down the links.
Courses
- DataCamp – AI Courses for Every Level: Interactive AI courses covering machine learning, generative AI, ChatGPT, and AI ethics. Suited to beginners, with a clear learning path. #course
- Microsoft – AI Agents for Beginners: A 10-lesson course on building AI agents. Topics include agent design, tool use, RAG, and shipping to production. #course
- MLOps Marathon 2023 - YouTube: https://www.youtube.com/playlist?list=PLvmLXlo5OR87Gifw5IT-YWllj67YHhaEw #course #MLOps
- This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases
- AI Engineering Hub: In-depth guides on LLMs, RAGs, and real-world AI applications, including tutorials on agents, MCP, and production AI systems - GitHub #tutorial #LLM #RAG #agents
Reading Material
- https://llmresourceshub.vercel.app
- RAG Tutorial Neo4j GraphRAG: A guide to building a RAG system on a knowledge graph with Neo4j, combining semantic vector search with structured graph reasoning #RAG #GraphRAG #tutorial
- The Roadmap of Mathematics for Machine Learning
- https://github.com/aishwaryanr/awesome-generative-ai-guide #generativeAI
- https://github.com/GokuMohandas/Made-With-ML: Learn how to design, develop, deploy and iterate on production-grade ML applications. #ML #development #deployment
- book_ML_color: Machine learning basics. #ML #basic
- Latest breakthroughs in Machine Learning: https://viblo.asia/u/MinhLeeDuc #ML #news
- DVC - Git for data or AI model: https://viblo.asia/p/tim-hieu-dvc-phan-1-lam-quen-voi-mot-so-concept-co-ban-cua-dvc-EoW4oXBrJml #DVC #git
- Introduction to RLHF - Self-Rewarding Language Models: https://viblo.asia/p/llm-paper-reading-self-rewarding-language-models-tim-hieu-cach-llm-tu-nang-cap-chinh-no-gwd43jx3VX9 #RLHF #LLM
- ASR - Paper reading | Understanding the Whisper model - converting speech to commands: https://viblo.asia/p/asr-paper-reading-tim-hieu-mo-hinh-whisper-2oKLnnl1LQO #ASR #Whisper
- The problem of automatic Vietnamese spelling correction: https://freedium.cfd/https://medium.com/zalotech/s%E1%BB%ADa-l%E1%BB%97i-ch%C3%ADnh-t%E1%BA%A3-ti%E1%BA%BFng-vi%E1%BB%87t-3bb0990af931 #spellcheck #vietnamese
- WebLLM: Running LLMs in the Browser: https://techhub.iodigital.com/articles/what-is-webllm (Frontend - Front-end) #WebLLM #browser
- Reasoning LLMs and Interesting Things You May Not Know, Part 1: https://viblo.asia/p/advanced-llm-reasoning-llm-va-nhung-dieu-thu-vi-ma-co-the-ban-da-biet-phan-1-WR5JR1wn4Gv #LLM #reasoning
- Reasoning LLMs and Interesting Things You May Not Know, Part 2: https://viblo.asia/p/advanced-llm-reasoning-llm-va-nhung-dieu-thu-vi-ma-co-the-ban-da-biet-phan-2-aAY4q3GyLPw #LLM #reasoning
See also: LLM Learning Resources · AI Tools And Resources · RAG Tutorial Neo4j GraphRAG