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Role track

Deploy & Secure

Running AI in production is fundamentally different from traditional software. Master MLOps pipelines, AI infrastructure patterns, GPU cost management, and securing AI systems at enterprise scale.

Cloud EngineersDevOps EngineersPlatform EngineersSREsSecurity EngineersNetwork Engineers
16
Modules
~10 hrs
Est. time
Free
Cost
MLOpsAI on cloudGPU infraAI securityObservabilityCost optimisation

Learning path (5 modules)

Your progress0 / 5 modules 
1
ArticleGoogle Cloud Architecture Center · 20 min

MLOps: continuous delivery and automation pipelines for ML

4
Hands-onGoogle Cloud · Coursera (free audit) · ~6 hrs

Machine Learning Operations (MLOps): Getting Started — Google free course

5
Hands-onOpenTelemetry · Official Docs · 30 min

OpenTelemetry for AI — observability beyond traditional metrics