This is a repo with links to everything you'd ever want to learn about data engineering

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Samples using the Agent2Agent (A2A) Protocol

Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.

A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlow.

Capstone Project for the Applied Data Science Program, MIT Professional Education

Understanding Lego sets popularity -- SQL project on DataCamp

Team Nebulae's first hackathon experience!

Notebooks for Large Language Models (LLMs) Specialization