# One Open Source Project per Day #74: ai-engineering-from-scratch - Build AI Full-stack Skills from Ground Up > Source: > Published: 2026-05-24 00:56:28+00:00 ## Introduction ** ai-engineering-from-scratch** is a hardcore and comprehensive curriculum for AI engineering. Instead of just teaching you how to call the OpenAI API, it takes you through the underlying mathematical principles, step-by-step, building Tokenizers, Backpropagation, Attention mechanisms, all the way to autonomous agent swarms. The entire curriculum consists of **20 phases** and **435 lessons**, requiring approximately **320 hours** of study. What makes it unique is that every lesson ships a reusable **artifact**: a prompt, a skill, an agent, or an MCP server that you can immediately plug into your daily workflow. ## Core Features - **Build from Scratch Philosophy**: Follows the principle that the best way to understand something is to build it by hand. You implement algorithms with raw math/Python before moving on to frameworks like PyTorch. - **Full Spectrum Coverage**:- **Math Foundations**: Linear algebra to neural network first principles. - **ML & DL Core**: From classical ML to the evolution of Transformers. - **Generative AI**: Principles of image, video, and audio generation. - **LLM Engineering**: Training, fine-tuning, quantization, and production deployment. - **Agent Engineering**: ReAct loops, memory, multi-agent coordination, and autonomous systems. - - **Output-Oriented**: At the end of each lesson, you don't just "learn" something; you gain a transferable tool (e.g., a`.md` skill file for Claude/Cursor). - **Multi-language Support**: Primarily Python, but includes TypeScript, Rust, and Julia implementations. ## How to Get Started There are three ways to dive into the curriculum: - **Online Reading**: Browse all docs at[aiengineeringfromscratch.com](https://aiengineeringfromscratch.com). - **Clone & Run**: ``` git clone https://github.com/rohitg00/ai-engineering-from-scratch.git cd ai-engineering-from-scratch python phases/01-math-foundations/01-linear-algebra-intuition/code/vectors.py ``` **Agent-Driven (Recommended)**: If you use Claude, Cursor, or any agent with the curriculum skills installed, run`/find-your-level` . A 10-question quiz will map your knowledge to a personalized starting phase. ## Conclusion If you're tired of "one-minute prompt hacks" and want to truly master the underlying logic of AI while building your own arsenal of engineering tools, `ai-engineering-from-scratch` is the most thorough and high-quality resource available today. Project URL: [rohitg00/ai-engineering-from-scratch] *Welcome to my homepage to find more useful knowledge and interesting products.*