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From Zero to Agents - A Foundational AI/ML Course, Built From First Principles
Volume 1: Language, Math, and Neural Networks from Scratch
A from-scratch AI/ML course that treats you like an engineer, not a tourist — three modules covering language-as-numbers, the math foundations, and neural networks, each concept built in raw Python first, then PyTorch, so you always know what's really happening under the hood.
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Most AI/ML material asks you to trust the black box. This course doesn't. From Zero to Agents rebuilds machine learning from first principles — every concept explained three ways: theoretically, mathematically, and in code, first written from scratch in raw Python and then reimplemented in PyTorch so you can see exactly what the library is doing for you.
Volume 1 covers the foundation everything else stands on: how text becomes numbers a computer can reason about, the vector and matrix math underneath every model, calculus and gradients explained through working code instead of abstract proofs, and neural networks built up node by node until backpropagation stops looking like magic.
This is not a tutorial that skips the hard parts. Every equation is derived, every result is verified by running the code, and every claim is checked against what actually happens — including the places where intuition turns out to be wrong. By the end of Volume 1, you won't just know what a neural network is — you'll have built one, from a single perceptron up.
Written for practitioners who want to read AI/ML research papers and actually understand the notation, not just the diagrams.
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Junaid Hassan
Junaid Hassan is an AI/software engineer and founder based in Italy, with over a decade of full-stack engineering experience and the last several years focused on production LLM systems. He runs AIVerse, building multi-agent orchestration platforms, RAG pipelines, LoRA fine-tuning infrastructure, and multi-backend inference routing for real-world SaaS products.
He holds an MSc in Computer Science with a specialization in AI/ML from the University of Gujrat and a BSc in Telecommunications Engineering from UET Taxila, and has authored peer-reviewed research on GRU-based sentiment classification (Neural Processing Letters, 2020). He has also lectured in Computer Science and worked extensively as a freelance engineer.
From Zero to Agents grew out of his own effort to rebuild his theoretical and mathematical foundations from scratch — this book is the course he wished existed when he started.
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