12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

21 Lessons, Get Started Building with Generative AI

C# KQL query engine with flexible I/O layers and visualization

Lightweight coding agent that runs in your terminal

A curated list of Workflow Automation Software, Engines and Tools

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

Library to scrape and clean web pages to create massive datasets.

Claude Code dashboard with usage stats, error analysis, and sharable feature

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

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

mcp-use is the easiest way to interact with mcp servers with custom agents

Clean Architecture with Python, Published by Packt

Turns Data and AI algorithms into production-ready web applications in no time.

go the distance

A lightweight, powerful framework for multi-agent workflows

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

A list of useful resources to learn Data Engineering from scratch

The Data Engineering Cookbook

Curated list of project-based tutorials

All the resources you need to get to Senior Engineer and beyond

Software Engineer's Bootcamp: Developing AI Applications

A curated list of awesome pytest resources

Beginner data engineering project - batch edition

Code to demonstrate data engineering metadata & logging best practices

Sample project to demonstrate data engineering best practices

Code for blog at: https://www.startdataengineering.com/post/docker-for-de/