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

Where our students come from?
100% Money-back Guarantee!
If you try our sessions and feel it's not the right fit, you're entitled to a 100% refund - no questions asked!
*Note: This guarantee is applicable only to the English version.
Coming soonCourse overview
Information
📌
Final project: 1
📚
Number of labs: 15
📕
Estimated Graduation Project Completion Time: 1 months
📊
Access Duration: Unlimited
Format
💻Learning Format
- •Pre-recorded videos
- •Debug support via Discord or direct Zoom calls
Instructors
Become a Full Stack Data Scientist Today
or
FSDS Hall of Fame
A platform to showcase FSDS students's progress, where we preserve their proud achievements, attractive offers, and passionate projects.