Browse all tracks

All tracks at a glance

The full catalog, in track-number order. Tap any live track to start its first lesson. Themed groupings are below for users who prefer a guided path.

1. 01 Getting Started with Clawless For Clawless users 5 lessons
2. 02 Use Case Cookbook For Clawless users Coming soon
3. 03 Agent Building 101 For Clawless users Coming soon
4. 04 Visual Math: Linear Algebra Foundations 15 lessons
5. 05 Transformers and LLMs Transformers & LLMs 34 lessons
6. 06 Privacy & Local-First AI Specialized & Adjacent 3 lessons
7. 07 Git Workflow: From Solo to Multi-Agent Teams Production & Agents 16 lessons
8. 08 Visual Math: Calculus Foundations 13 lessons
9. 09 Statistics & Probability for AI Foundations 14 lessons
10. 10 Classical Machine Learning Foundations 15 lessons
11. 11 Neural Network Intuition Neural Networks & Deep Learning 10 lessons
12. 12 Introduction to Deep Learning Neural Networks & Deep Learning 10 lessons
13. 13 Build Neural Networks from Scratch Neural Networks & Deep Learning 10 lessons
14. 14 Practical Transformers with Hugging Face Transformers & LLMs 12 lessons
15. 15 Build an LLM from Scratch Transformers & LLMs 14 lessons
16. 16 Computer Vision Specialized & Adjacent 16 lessons
17. 17 Reinforcement Learning Foundations Production & Agents 10 lessons
18. 18 Deep Reinforcement Learning Production & Agents 18 lessons
19. 19 Generative Models & Diffusion Specialized & Adjacent 15 lessons
20. 20 AI Agents and Tool Use Production & Agents 11 lessons
21. 21 LLM Ops and Production Production & Agents 11 lessons
22. 22 Building with Claude Production & Agents 12 lessons
23. 23 AI Safety & Alignment Specialized & Adjacent 9 lessons
24. 24 Multimodal AI Transformers & LLMs 10 lessons

Learning Paths

The same 24 tracks above, grouped into themed paths. Each path is a suggested route through the curriculum: pick the one that matches what you want to learn next, or roam freely.

Foundations

The math and classical ML everything else builds on.

Track 4

Visual Math: Linear Algebra

Vectors, matrices, and transformations, built from visual intuition.

15 lessons · ~5h Beginner

Track 8

Visual Math: Calculus

Derivatives, integrals, and the chain rule, built from intuition.

13 lessons · ~4h Beginner

Track 9

Statistics & Probability for AI

The probability and statistics that machine learning runs on.

14 lessons · ~4h Beginner

Track 10

Classical Machine Learning

Regression, trees, SVMs, and clustering, before the deep-learning era.

15 lessons · ~5h Beginner

Neural Networks & Deep Learning

From intuition to building networks from scratch.

Track 11

Neural Network Intuition

What a neural network is, visually, from the handwritten-digit problem.

10 lessons · ~3h Beginner

Track 12

Introduction to Deep Learning

A broad first survey of deep learning and where it is used.

10 lessons · ~3h Intermediate

Track 13

Build Neural Networks from Scratch

Build an autograd engine and a neural net from nothing.

10 lessons · ~3h Intermediate

Transformers & LLMs

How modern language and multimodal models actually work.

Track 5

Transformers and LLMs

Attention, transformers, and how modern AI actually works.

34 lessons · ~10h Foundations

Track 14

Practical Transformers with Hugging Face

Use transformers in practice with the Hugging Face ecosystem.

12 lessons · ~4h Intermediate

Track 15

Build an LLM from Scratch

Tokenizer to trained model: construct a language model end to end.

14 lessons · ~4h Advanced

Track 24

Multimodal AI

Models that see, hear, and read: vision-language and beyond.

10 lessons · ~3h Advanced

Production & Agents

Reinforcement learning, agents, ops, and shipping for real.

Track 17

Reinforcement Learning Foundations

Agents, rewards, and policies: the foundations of reinforcement learning.

10 lessons · ~3h Intermediate

Track 18

Deep Reinforcement Learning

Policy gradients, Q-learning, PPO, and the algorithms behind RLHF.

18 lessons · ~5h Advanced

Track 20

AI Agents and Tool Use

Give models tools, memory, and loops so they act, not just answer.

11 lessons · ~3h Intermediate

Track 21

LLM Ops and Production

Ship LLM apps: evaluation, deployment, monitoring, and cost.

11 lessons · ~3h Advanced

Track 22

Building with Claude

Build real applications on the Claude API, step by step.

12 lessons · ~4h Intermediate

Track 7

Git Workflow: From Solo to Multi-Agent Teams

Version control as collaboration infrastructure, from your first commit to coordinating AI agent teams on parallel branches.

16 lessons · ~5h Beginner

Specialized & Adjacent

Vision, generative models, safety, and privacy.

Track 6

Privacy & Local-First AI

Use AI without trading away your data, your clients', or your family's.

3 lessons · ~1h Beginner

Track 16

Computer Vision

How machines see: convolutions, detection, and modern vision models.

16 lessons · ~5h Advanced

Track 19

Generative Models & Diffusion

VAEs, GANs, and diffusion: how AI generates images and more.

15 lessons · ~5h Advanced

Track 23

AI Safety & Alignment

Risks, alignment, and the open problems of building safe AI.

9 lessons · ~3h Intermediate

For Clawless users

Get hands-on with the Clawless product itself.

Track 1

Getting Started with Clawless

Install, first chat, first agent: your first 'I built something' moment.

5 lessons · ~2h Beginner

Track 2

Use Case Cookbook

Copy-pasteable recipes for real tasks, runnable in Clawless.

Coming soon Beginner

Track 3

Agent Building 101

Skills, tools, channels, and cron: the Clawless extension layer.

Coming soon Intermediate