I am collecting some awesome AI, math and related content from blogs, websites, YouTube, etc!

• Mathematical Foundations of Machine Learning by Prathosh A P, IISc Bangalore

• Stanford CME 295

• Deep Learning by Professor Bryce

• MCP for beginners by Microsoft

• Learn LLMOps by TechLeadCompass

• Generative AI in a nutshell by Henrik Kniberg

• StatQuest: Statistics Fundamentals

• Introduction to transformers by Mitesh M Khapra, IIT Madras

• Local RAG from scratch by Daniel Bourke

• Deep research from scratch, by the LangChain folks!

• For Java developers - Getting started with SpringAI by Dan Vega

• Natural Language Processing and LLMs by SerranoAcademy

• Generative AI 2025 - IIT Madras & Prathosh A P

• Deep Dive into LLMs like ChatGPT - Andrej Karpathy

• 3Blue1Brown Neural Networks playlist on Youtube

• MLOps to ML Systems by hopswork.ai

• Transformers from scratch by brandonrohrer.com

• Diffusion Models and their applications, KAIST

• Deep Generative Models by Prathosh AP, Indian Institute of Science, Bangalore

• Essential Mathematics for Machine Learning from IIT Roorkee

• LLM Agents MOOC - Berkley RDI Center

• Building Large Language Models - Stanford Online

• Variational Autoencoder - Ahlad Kumar

• Neural Networks: Zero to Hero - Andrej Karpathy

• Machine Learning - Stanford Online

• Reinforcement Learning - Stanford Online

• AI Math by youtube/@broklist

• Differential Equations by youtube/@broklist

• Back Propagation Algorithm by youtube/@broklist

• Poker Theory and Analysis - MIT OpenCourseWare

• Linear Algebra - MIT OpenCourseWare

• Game Theory - Yale

Not AI:

• CMU Database Systems