AI Engineer Notebooks launches with a code repository for building AI without libraries
A developer has released a GitHub repository featuring hands-on Google Colab lessons that teach AI development from the ground up, helping learners truly understand how it works under the hood.
The 'AI Engineer Notebooks' project on GitHub, created by user 'calmrocks,' is drawing significant attention from the developer community after reaching the Hacker News front page. It is a collection of Google Colab Notebooks for people looking to develop AI Engineer skills.
A key highlight is its framework-free approach, which emphasizes writing Raw API calls instead of relying on ready-made libraries. This helps learners understand the inner workings of RAG (Retrieval-Augmented Generation), Agents, and Evals.
The repository covers essential topics including Model APIs, Structured Output, Tool Calling, building agent loops from scratch, Fine-tuning with LoRA, security, and evaluation. It is designed to be used mainly with the Groq API at no cost. The project aims to help software engineers transition into AI and build Production-grade systems rather than simple Demos.
It gives Thai learners and IT developers free access to in-depth AI system development, avoiding costly courses while building a genuine understanding of the underlying architecture.