Overview

AI Engineering from Scratch is a comprehensive, open-source curriculum designed to bridge the gap between AI tool usage and professional AI engineering. With 428 meticulously crafted lessons across 20 phases, this resource empowers learners to build AI systems end-to-end, from fundamental mathematical concepts to advanced agent engineering and production deployment. Utilizing Python, TypeScript, Rust, and Julia, the curriculum emphasizes a "learn it, build it, ship it" philosophy, ensuring each lesson culminates in a tangible, reusable artifact.

Key Features

• End-to-End Learning: Progress from core mathematical principles and classical ML to deep learning, computer vision, NLP, generative AI, LLMs, and autonomous agents.
• Build-from-Scratch Approach: Implement algorithms and concepts using raw math and code before introducing production-level frameworks, fostering deep understanding.
• Shippable Artifacts: Each lesson delivers a practical output, such as prompts, skills, agents, or MCP servers, ready for integration into real-world workflows.
• Multi-Language Support: Master AI concepts across Python, TypeScript, Rust, and Julia.
• Structured Curriculum: Organized into 20 distinct phases, allowing for flexible learning paths and intelligent skipping based on existing knowledge.
• Interactive Learning Tools: Integrated agent skills like /find-your-level and /check-understanding personalize the learning journey and assess comprehension.
• Free and Open Source: Fully accessible MIT-licensed content, designed to run on your own laptop.

Typical Use Cases

• Aspiring AI Engineers: Gain a foundational and practical understanding of AI development, preparing for professional roles.
• Software Developers: Learn to integrate, build, and deploy AI capabilities into existing applications.
• Data Scientists: Deepen knowledge of underlying AI mechanics beyond high-level API usage.
• Researchers: Access a structured curriculum for building complex AI systems from first principles.
• Educators: Utilize a robust, open-source framework for teaching AI engineering.