Learn AI Engineering MCP Server

Learn AI Engineering

A comprehensive collection of free resources to learn everything about AI/ML, LLMs and Agents.

Mathematical Foundations

• 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)

Python

• AI Python for Beginners - Deeplearning.ai

AI & ML Fundamentals

• Machine Learning Crash Course - Google
• AI for Beginners – Microsoft
• Elements of AI – University of Helsinki
• Machine Learning Playlist - Josh Strarmer
• Machine Learning Specialization - Coursera

Machine Learning Frameworks

• Scikit-learn
• XGBoost
• LightGBM
• CatBoost

Deep Learning

• Deep Learning Specialization - Coursera (Andrew Ng)
• Practical Deep Learning for Coders - Fast.ai
• Mathematics for Deep Learning
• Deep Learning Playlist - Josh Starmer

Deep Learning Frameworks

• TensorFlow
• PyTorch
• Keras

Deep Learning Specializations

Computer Vision

• Deep Learning for Computer Vision - Stanford

Natural Language Processing (NLP)

• NLP Specialization - Coursera

Reinforcement Learning

• Deep RL Course - Hugging Face
• Deep RL Bootcamp - UC Berkeley

Generative AI

• The Building Blocks of Generative AI
• Generative AI for Beginners - Microsoft
• Generative AI for Everyone - Coursera

Large Language Models (LLMs)

• 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

LLM Chatbots

• ChatGPT
• Gemini
• Claude
• Perplexity

Open Source LLMs

• Llama
• Deepseek

LLM APIs

• OpenAI
• Anthropic
• Gemini - Google
• Groq - Inference

LLM Tools & Frameworks

• LangChain
• LlamaIndex
• Ollama
• Instructor
• Outlines

LLM Based IDEs

• Cursor
• Windsurf
• GitHub Copilot

Agentic Coding Tools

• Claude Code
• Codex

Prompt Engineering

• 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

Retrieval-Augmented Generation (RAG)

• Introduction to RAG - Coursera
• RAG Techniques - Github

AI Agents

• A Visual Guide to LLM Agents
• Agents - Chip Huyen
• AI Agents Course - Hugging Face
• Building AI Browser Agents - Deeplearning.ai
• GenAI Agents - Github
• AI Agents in Action, Second Edition - Book

Model Context Protocol (MCP)

• MCP - Anthropic Guide
• Building AI Apps using MCP
• MCP Course - Hugging Face
• Awesome MCP Servers - Github

MLOps & Deployment

• ML in Production - Coursera
• Full Stack Deep Learning
• ML System Design - Stanford

Tools

• Streamlit
• MLflow

Guides

• OpenAI Cookbook
• Anthropic courses

Books

• 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 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

YouTube Channels

• Andrej Karpathy
• 3Blue1Brown

Other Resources

• Papers with Code
• Kaggle Competitions

Must-Read AI Papers

• 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