Category

AI Courses

5 public lists, written by people who know them.

AI Concepts - Basic to Advanced

Core AI concepts from What is AI, Machine learning to LLM Models and to Prompt Engineering, RAG, Loop engineer and other related concepts like token, runtime inference, KV Cache, MoE etc

  • AI Finally Makes Sense: 16 Essential Concepts Explained Simplyyoutube.com1. 16 Core Concepts
  • Building AI You Can Trust: Security, Memory, RAG & Governance Explainedyoutube.com2
  • AI Agents Finally Make Sense: Reasoning, MCP, Tools & Evals Explainedyoutube.com3

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The visual intuition, with 3Blue1Brown

  • But what is a neural network? | Deep learning chapter 1youtube.com
  • Gradient descent, how neural networks learn | Deep Learning Chapter 2youtube.com
  • Backpropagation, intuitively | Deep Learning Chapter 3youtube.com

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Understand LLMs

without writing code

  • [1hr Talk] Intro to Large Language Modelsyoutube.com
  • Deep Dive into LLMs like ChatGPTyoutube.com
  • Transformers, the tech behind LLMs | Deep Learning Chapter 5youtube.com
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Neural networks from zero

with Karpathy

  • The spelled-out intro to neural networks and backpropagation: building microgradyoutu.be
  • The spelled-out intro to language modeling: building makemoreyoutu.be
  • Building makemore Part 2: MLPyoutu.be

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Start building, not just watching

Three courses where you write the code yourself.

  • Let's build the GPT Tokenizeryoutu.be
  • Let's build GPT: from scratch, in code, spelled out.youtube.comLet's build GPT: from scratch, in code — Karpathy
  • Practical Deep Learning for Coders: Lesson 1youtube.comPractical Deep Learning for Coders: Lesson 1 — Jeremy Howard
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