From linear algebra
to production AI.

14 stages. No filler, no detours. Every section names what to learn, why it matters, and the exact resource to learn it from — then a project to prove it.

Browse the index

14
Stages: 61
Sections: 1048
Topics: 255
Resources: 30
Projects

The index

14 stages, in order.

01 → 14

Stage 01 · Milestone

Solve 10 NumPy exercises that involve matrix operations and probability calculations.

Stage 01 · Portfolio projects

P1
Linear Algebra from Scratch
Starter
Implement matrix multiply, transpose, determinant and a power-iteration eigenvector finder in pure Python, then verify against NumPy. Use SVD to compress an image and plot quality vs rank.
P2
Gradient Descent Visualizer
Starter
Hand-derive gradients for a few 2-D functions and animate gradient descent, momentum and Adam on them. Makes learning rate and curvature intuitive.

The rule

Ship something with every concept within forty-eight hours.

One project that grows beats ten tutorial repos. The map is finite — the work isn't. Pick a stage, open a terminal, and start.

From linear algebra
to production AI.

14 stages, in order.

Math Foundations

Python for AI

Machine Learning Core

Reinforcement Learning Basics

Deep Learning

Natural Language Processing

Speech & Audio AI

Large Language Models (LLMs)

Multimodal AI

RAG — Retrieval Augmented Generation

AI Agents & Agentic Systems + MCP

MLOps & LLMOps

System Design for AI

AI Ethics & Alignment

Math Foundations

Linear Algebra

Calculus

Probability & Statistics

Linear Algebra from Scratch

Gradient Descent Visualizer

Python for AI

Machine Learning Core

Reinforcement Learning Basics

Deep Learning

Natural Language Processing

Speech & Audio AI

Large Language Models (LLMs)

Multimodal AI

RAG — Retrieval Augmented Generation

AI Agents & Agentic Systems + MCP

MLOps & LLMOps

System Design for AI

AI Ethics & Alignment

Ship something with every concept within forty-eight hours.

From linear algebrato production AI.

14 stages, in order.

Math Foundations

Python for AI

Machine Learning Core

Reinforcement Learning Basics

Deep Learning

Natural Language Processing

Speech & Audio AI

Large Language Models (LLMs)

Multimodal AI

RAG — Retrieval Augmented Generation

AI Agents & Agentic Systems + MCP

MLOps & LLMOps

System Design for AI

AI Ethics & Alignment

Math Foundations

Linear Algebra

Calculus

Probability & Statistics

Linear Algebra from Scratch

Gradient Descent Visualizer

Python for AI

Machine Learning Core

Reinforcement Learning Basics

Deep Learning

Natural Language Processing

Speech & Audio AI

Large Language Models (LLMs)

Multimodal AI

RAG — Retrieval Augmented Generation

AI Agents & Agentic Systems + MCP

MLOps & LLMOps

System Design for AI

AI Ethics & Alignment

Ship something with every concept within forty-eight hours.

From linear algebra
to production AI.