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Cloud & DevOps for AI

Deploy, monitor, and manage AI workloads in production using cloud services and DevOps practices.

What You'll Learn​

  • AWS / Azure / GCP AI Services — Choosing the right cloud for your AI workloads
  • Serverless AI — Deploying models without managing infrastructure
  • CI/CD for ML — Automated pipelines for model training and deployment
  • Model Monitoring — Tracking drift, performance, and reliability in production
  • A/B Testing — Canary deployments and experimentation for models

More guides coming soon.