Module MLOps 3

This advanced module focuses on performance and scalable deployment. It covers high‑performance Python, training pipeline design, serving with Ray Serve, Triton, and KServe, and end‑to‑end lifecycle governance in Kubeflow with real‑time monitoring.

MLOps 3 Roadmap by FSDS

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Course overview

Information

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Final project: 1

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Number of labs: 15

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Estimated Graduation Project Completion Time: 1 months

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Access Duration: Unlimited

Format

💻Learning Format

  • Pre-recorded videos
  • Debug support via Discord or direct Zoom calls

Instructors

Quan Dang

Quan Dang

Founder & CEO

Senior Data Scientist at Yokogawa Singapore with over 8 years of industry experience.

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