Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer. This Python course teaches you how to use RAG to combine your own custom data with the power of Large Language Models (LLMs). ✏️ Course created by Lance Martin, PhD. ⭐️ Course...

Beginner - 153 min - AI & Data - freeCodeCamp.org

The full course: Learn LLM Apps & Agents free

What you'll need

• Laptop stand: Screen at eye level for long study sessions.
• Noise-cancelling headphones: Focus through long video lessons.
• Second monitor: Video on one screen, practice on the other.
• Wireless keyboard and mouse: Comfortable for hours of typing.

Books

1. AI Engineering by Chip Huyen - View on Amazon
2. Build a Large Language Model (From Scratch) by Sebastian Raschka - View on Amazon
3. Hands-On Large Language Models by Jay Alammar - View on Amazon
4. Prompt Engineering for LLMs by John Berryman - View on Amazon

Next lessons

• How I use LLMs (131 min, Andrej Karpathy, Intermediate)
• Run your own AI (but private) (22 min, NetworkChuck, Intermediate)
• [1hr Talk] Intro to Large Language Models (60 min, Andrej Karpathy, Beginner)
• you need to learn MCP RIGHT NOW!! (Model Context Protocol) (39 min, NetworkChuck, Intermediate)
• Deep Dive into LLMs like ChatGPT (211 min, Andrej Karpathy, Advanced)
• host ALL your AI locally (24 min, NetworkChuck, Intermediate)
• AI Agents, Clearly Explained (10 min, Jeff Su, Intermediate)
• Build and Deploy Your Own ChatGPT AI App in JavaScript | OpenAI, Machine Learning (62 min, JavaScript Mastery, Intermediate)