MLOps & LLMOps Engineering

The third leg of the AI track: operating models in production. Understand what MLOps is, why models rot without it, and how it extends DevOps to the ML lifecycle.

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  What is MLOps?

  IBM Technology

  • What MLOps is and the problems it solves
  • The ML lifecycle: data, training, deployment, monitoring
  • How MLOps extends DevOps to models and data
  • Model drift, retraining and continuous delivery
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  MLOps Explained - What It Is, Why You Need It and How It Works

  TechWorld with Nana

  • The MLOps workflow end-to-end
  • Where data engineering, DevOps and ML meet
  • Reproducibility, versioning and automation
  • The tooling landscape at a glance