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AI Engineering From Scratch: Free Open-Source Curriculum with 503 Lessons Across 4 Programming Languages

2d ago· 42 min readenCode

Summary

A comprehensive, free, open-source AI engineering curriculum (MIT license) containing 503 lessons across 20 phases (~320 hours) covering Python, TypeScript, Rust, and Julia. The curriculum addresses the gap between AI tool usage (84% of students use AI tools, but only 18% feel professionally prepared) by teaching learners to build reusable AI artifacts like prompts, skills, agents, and MCP servers end-to-end. The project has gained significant traction with 150,639 readers and 241,669 page views in 30 days.

Source

Twitter / XAI Engineering From Scratch: Free Open-Source Curriculum with 503 Lessons Across 4 Programming Languagesgithub.com

Key quotes

· 5 pulled
84% of students already use AI tools. Only 18% feel prepared to use them professionally. This curriculum closes that gap.
503 lessons. 20 phases. ~320 hours. Python, TypeScript, Rust, Julia.
Every lesson ships a reusable artifact: a prompt, a skill, an agent, an MCP server. Free, open source, MIT.
You don't just learn AI. You build it. End-to-end. By hand.
Most AI material teaches in scattered pieces. A paper here, a fine-tuning post there, a flashy agent demo somewhere else.
Snippet from the RSS feed
Learn it. Build it. Ship it for others. Contribute to rohitg00/ai-engineering-from-scratch development by creating an account on GitHub.

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