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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
From Zero to Agents: A Foundational AI/ML Course, Built From First Principles

From Zero to Agents: A Foundational AI/ML Course, Built From First Principles

Paperback

General Computers

ISBN13: 9798171126919
Publisher: Independently Published
Published: Sep 2 2026
Pages: 336
Weight: 0.99
Height: 0.70 Width: 6.00 Depth: 9.00
Language: English
Most machine learning books ask you to trust the black box. This one doesn't.

From Zero to Agents rebuilds artificial intelligence from first principles - starting at the question of what a word even is to a computer, and ending with a working, tool-using AI agent you build yourself. Every concept is explained three ways: theoretically, mathematically, and in code - first written from scratch in raw Python, then reimplemented in PyTorch, so you always know exactly what the library is doing for you.

This is not a tutorial that skips the hard parts. Every equation is derived. Every result is verified by running the code - including the places where the first attempt didn't work, and the book says so.

Inside, you'll build:

  • Tokenization and embeddings, from raw text to trainable vectors
  • The mathematical toolkit - vectors, matrices, gradients, probability - explained through working code, not abstract proofs
  • A complete neural network, with backpropagation derived and verified by hand
  • Recurrent networks, LSTMs, and a full transformer with real multi-head attention, trained from scratch
  • LoRA fine-tuning, derived and measured, not just described
  • A working AI agent - tool use, memory, multi-agent coordination - arriving at the book's own title
Written for practitioners who want to open a real AI/ML research paper and read the mathematics fluently, on sight - not skim past it to the prose.

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