Complete RAG Crash Course With Langchain In 2 Hours

Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use...

Beginner - 128 min - AI & Data - Krish Naik

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)