ai-infra-curriculum/ai-infra-junior-engineer-learning
AI Infrastructure Junior Engineer Learning Track - Comprehensive curriculum for entry-level ML infrastructure engineers (0-2 years experience)
This curriculum helps aspiring AI/ML Infrastructure Engineers learn to build, deploy, and manage machine learning systems. You'll go from basic programming and command-line knowledge to deploying ML models, containerizing applications, orchestrating deployments, and building automated ML pipelines on cloud platforms. It's for individuals with 0-2 years of experience who want to become job-ready in AI infrastructure.
Use this if you want a structured, hands-on learning path to become an AI/ML Infrastructure Engineer, covering everything from Linux basics to cloud deployments and CI/CD.
Not ideal if you are looking for a theoretical understanding of machine learning algorithms or if you already have significant experience building production-grade AI infrastructure.
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19
Forks
6
Language
Python
License
MIT
Category
Last pushed
Nov 03, 2025
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0
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