A comprehensive collection of free resources to learn everything about AI/ML, LLMs and Agents.
- Mathematics Roadmap for Machine Learning
- Essence of Linear Algebra - 3Blue1Brown
- Probability & Statistics - Khan Academy
- Statistics Fundamentals - Josh Strarmer
- Mathematics for Machine Learning Specialization - Coursera (Andrew Ng)
- Machine Learning Crash Course - Google
- AI for Beginners – Microsoft
- Elements of AI – University of Helsinki
- Machine Learning Playlist - Josh Strarmer
- Machine Learning Specialization - Coursera
- Deep Learning Specialization - Coursera (Andrew Ng)
- Practical Deep Learning for Coders - Fast.ai
- Mathematics for Deep Learning
- Deep Learning Playlist - Josh Starmer
- The Building Blocks of Generative AI
- Generative AI for Beginners - Microsoft
- Generative AI for Everyone - Coursera
- The Illustrated Transformer
- Large Language Models explained briefly
- Intro to LLMs
- Understanding Large Language Models
- A Visual Guide to Reasoning LLMs
- Understanding Reasoning LLMs
- Understanding Multimodal LLMs
- A Visual Guide to Mixture of Experts (MoE)
- Finetuning Large Language Models
- How Transformer LLMs Work
- Building GPT from scratch - Andrej Karpathy
- LLM Course - GitHub
- LLM Course - Hugging Face
- Awesome LLM Apps - GitHub
- Google Prompting Essentials
- ChatGPT Prompt Engineering for Developers - Deeplearning.ai
- Advanced Prompting Techniques - Instructor
- Prompt Engineering Techniques - Github
- Getting Structured LLM Output - Deeplearning.ai
- God Tier Prompts
- A Visual Guide to LLM Agents
- Agents - Chip Huyen
- AI Agents Course - Hugging Face
- Building AI Browser Agents - Deeplearning.ai
- GenAI Agents - Github
- MCP - Anthropic Guide
- Building AI Apps using MCP
- MCP Course - Hugging Face
- Awesome MCP Servers - Github
- Hands-On Machine Learning
- Deep Learning - Ian Goodfellow
- Deep Learning with Python
- Why Machines Learn
- Designing Machine Learning Systems
- AI Engineering
- Build a LLM from Scratch
- Prompt Engineering for LLMs
- Natural Language Processing with Transformers
- Build a Multi-Agent System (from Scratch)
- Build a Large Language Model (From Scratch)
- Build a Reasoning Model (From Scratch)
- Build an AI Agent (From Scratch)
- Build an LLM Application (from Scratch)
- AI Agents in Action
- AI Agents in Action, Second Edition
- LLMs in Production
- Attention Is All You Need
- Generative Adversarial Networks (GANs)
- GPT: Improving Language Understanding by Generative Pre-Training
- GPT-3: Language Models are Few-Shot Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Chain-of-Thought Prompting Elicits Reasoning in LLMs