rohitg00/ai-engineering-from-scratch is an open-source, broad curriculum for learning and building AI applications from scratch, addressing the gap between AI knowledge and practical application skills.
Source: Official README and linked documentation View on GitHub →This project is being discussed because its unique approach of providing a structured, hands-on learning experience in AI engineering, covering a wide range of topics from math foundations to autonomous systems. It addresses the pain point of students and professionals feeling unprepared to use AI tools professionally. The project differs through its focus on building reusable artifacts and its use of multiple programming languages.
Source: Official README and linked documentationThe curriculum is divided into 20 phases and 473 lessons, covering a broad spectrum of AI topics from linear algebra to autonomous systems. Each lesson is designed to build from the ground up, starting with raw math and progressing to implementation in various programming languages.
Source: Official README and linked documentationEvery lesson includes a 'Build It / Use It' approach, where learners first implement algorithms from scratch and then use them through production libraries like PyTorch or sklearn. This method ensures a deep understanding of AI concepts.
Source: Official README and linked documentationEach lesson results in a reusable artifact such as prompts, skills, agents, or MCP servers, which learners can integrate into their daily workflows.
Source: Official README and linked documentationThe curriculum supports Python, TypeScript, Rust, and Julia, catering to a diverse set of learners and allowing for a more practical understanding of AI across different programming paradigms.
Source: Official README and linked documentationThe project follows a modular architecture with distinct phases and lessons. Each lesson is structured with code, documentation, and outputs. The code is organized into folders based on phase and lesson names, with separate directories for different programming languages. Dependencies are managed through a requirements.txt file.
Source: Official repository tree and dependency filesnumpymatplotlibjupytertorchtorchvisiontorchaudiotransformersdatasetstokenizersacceleratescikit-learnpandaspillowlibrosasoundfiletiktokenanthropicopenaiThis project is suitable for students, professionals, and anyone interested in learning AI engineering. It is useful for those who want to gain a deep understanding of AI concepts and build practical AI applications. Specific scenarios include learning AI from scratch, enhancing professional AI skills, and developing AI projects.
Source: Official README and linked documentationNo release records available.
Source: Official releasesrohitg00/ai-engineering-from-scratch is a tool for anyone serious about learning AI engineering. Its broad curriculum, hands-on approach, and reusable artifacts make it a standout project for individuals and teams looking to build a strong foundation in AI and develop practical applications.