Open-Source AI Infrastructure Course
Div_pradeep · x · 2026-07-16
A comprehensive open-source course for AI infrastructure engineering has been compiled, boasting:
- 500+ hours of content
- 62 hands-on labs
- 95,000+ lines of code
- Completely free and open-source
The curriculum covers everything from cloud computing, Docker/Kubernetes, data pipelines, and MLOps to GPU computing, observability, IaC, and LLM infrastructure. The creator emphasizes that this isn't just a passive tutorial; it's designed for direct, practical application through 62 production-ready labs.
More from coding & agent
- A roundup of AI agents and MCP resources, including how to evaluate agents — _jaydeepkarale · 2026-07-21
- A full course shows how to build and deploy an AI agent with OpenAI and LangChain — _jaydeepkarale · 2026-07-21
- A beginner guide to AI agents points readers to a Stanford webinar — _jaydeepkarale · 2026-07-21
- A practical guide on how to evaluate AI agents — _jaydeepkarale · 2026-07-21
- MCP is headed toward easier scale, event-driven extensions, and workable file uploads — EricBuess · 2026-07-21
- Developers debate the missing composition model for AI agents — threepointone · 2026-07-21