ai-infra-curriculum/ai-infra-engineer-learning
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
This is a comprehensive learning path designed for individuals aiming to become AI Infrastructure Engineers. It provides a structured curriculum, hands-on projects, and production-grade code to teach you how to build, deploy, and maintain machine learning (ML) infrastructure at scale. The output is a highly skilled AI Infrastructure Engineer capable of developing robust and cost-optimized ML systems for large organizations.
Use this if you have 2-4 years of experience, a solid grasp of Python, Linux, Git, and ML basics, and you want to advance your career by mastering production-grade AI infrastructure and MLOps practices.
Not ideal if you are new to programming, lack foundational knowledge in Python, Linux, or basic machine learning concepts, or are looking for a quick introduction rather than a deep, career-focused learning commitment.
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Language
Python
License
MIT
Category
Last pushed
Nov 03, 2025
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