The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Learn AI Engineering! Learn it. Build it. Ship it for others.
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Curso para aprender los fundamentos del lenguaje SQL y bases de datos relacionales desde cero y para principiantes.
- basesdedatos
- database
- mysql
- postgresql
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
A collection of machine learning examples and tutorials.
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
- course
- large-language-model
- llm
- python
Tutorial material on the scientific Python ecosystem
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
Quantitative Research Handbook
Lecture and lab slides for EECS 498 AASE (Applied Agentic Software Engineering), UMich Fall 2026
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning
A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)