Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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Learn how to design systems at scale and prepare for system design interviews
- architecture
- distributed-systems
- system-design
- system-design-interview
Harness engineering beginner tutorial, from 0 to 1
- agent
- harness
- harness-engineering
- harness-framework
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
Go Training Class Material :
Starter-kit for writing services in Go using Kubernetes.
An step by step fuzzing tutorial. A GitHub Security Lab initiative
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.
TranslatedFree interactive 3D science lessons for high school · 铜匠实验室 (Tongjiang Lab, "Coppersmith Laboratory") · https://lab.tongjiang.app
Examples and hands-on labs for Linux tracing tools workshops
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
Lightning Network Protocol Development Curriculum
Lecture and lab slides for EECS 498 AASE (Applied Agentic Software Engineering), UMich Fall 2026
Teaching materials for a future Foundation of Embodied AI course, with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T, and SONIC.
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
Syllabus and other general course information
Material used for teaching.