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.
- Getting Started with Clawless
- Use Case Cookbook
- Agent Building 101
- Visual Math: Linear Algebra
- Transformers and LLMs
- Privacy & Local-First AI
- Git Workflow: From Solo to Multi-Agent Teams
- Visual Math: Calculus
- Statistics & Probability for AI
- Classical Machine Learning
- Neural Network Intuition
- Introduction to Deep Learning
- Build Neural Networks from Scratch
- Practical Transformers with Hugging Face
- Build an LLM from Scratch
- Computer Vision
- Reinforcement Learning Foundations
- Deep Reinforcement Learning
- Generative Models & Diffusion
- AI Agents and Tool Use
- LLM Ops and Production
- Building with Claude
- AI Safety & Alignment
- Multimodal AI
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.
Visual Math: Linear Algebra
Vectors, matrices, and transformations, built from visual intuition.
Visual Math: Calculus
Derivatives, integrals, and the chain rule, built from intuition.
Statistics & Probability for AI
The probability and statistics that machine learning runs on.
Classical Machine Learning
Regression, trees, SVMs, and clustering, before the deep-learning era.
Neural Networks & Deep Learning
From intuition to building networks from scratch.
Neural Network Intuition
What a neural network is, visually, from the handwritten-digit problem.
Introduction to Deep Learning
A broad first survey of deep learning and where it is used.
Build Neural Networks from Scratch
Build an autograd engine and a neural net from nothing.
Transformers & LLMs
How modern language and multimodal models actually work.
Transformers and LLMs
Attention, transformers, and how modern AI actually works.
Practical Transformers with Hugging Face
Use transformers in practice with the Hugging Face ecosystem.
Build an LLM from Scratch
Tokenizer to trained model: construct a language model end to end.
Multimodal AI
Models that see, hear, and read: vision-language and beyond.
Production & Agents
Reinforcement learning, agents, ops, and shipping for real.
Reinforcement Learning Foundations
Agents, rewards, and policies: the foundations of reinforcement learning.
Deep Reinforcement Learning
Policy gradients, Q-learning, PPO, and the algorithms behind RLHF.
AI Agents and Tool Use
Give models tools, memory, and loops so they act, not just answer.
LLM Ops and Production
Ship LLM apps: evaluation, deployment, monitoring, and cost.
Building with Claude
Build real applications on the Claude API, step by step.
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.
Specialized & Adjacent
Vision, generative models, safety, and privacy.
Privacy & Local-First AI
Use AI without trading away your data, your clients', or your family's.
Computer Vision
How machines see: convolutions, detection, and modern vision models.
Generative Models & Diffusion
VAEs, GANs, and diffusion: how AI generates images and more.
AI Safety & Alignment
Risks, alignment, and the open problems of building safe AI.
For Clawless users
Get hands-on with the Clawless product itself.
Getting Started with Clawless
Install, first chat, first agent: your first 'I built something' moment.
Use Case Cookbook
Copy-pasteable recipes for real tasks, runnable in Clawless.
Agent Building 101
Skills, tools, channels, and cron: the Clawless extension layer.