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rohitg00/ai-engineering-from-scratch

A comprehensive, AI-native learning platform to master AI engineering from foundational math to autonomous agent swarms, building and shipping real tools.

Core Features

Covers a vast scope: math, ML, DL, NLP, vision, speech, transformers, LLMs, agents, swarms.

Supports multiple programming languages: Python, TypeScript, Rust, Julia.

Focuses on practical output: build a portfolio of reusable tools, prompts, skills, and agents.

Employs an AI-native learning approach with interactive quizzes and AI coding agents (Claude Code skills).

Teaches building from scratch first, then leveraging frameworks for deeper understanding.

Detailed Introduction

This project is an extensive AI engineering learning platform designed to bridge the gap between theoretical AI knowledge and professional application. It offers a unique AI-native learning experience, guiding users from linear algebra fundamentals to advanced autonomous agent swarms. Unlike traditional courses, it emphasizes hands-on tool building across multiple languages (Python, TypeScript, Rust, Julia) and provides a portfolio of deployable artifacts. With over 280 lessons and 300 hours of content, it prepares learners to not just understand AI, but to build and ship AI-powered solutions.