What Is MLOps? From Model to Production
You built a powerful generative AI model—but what happens when it goes live? In this video, explore how MLOps bridges the gap between model development and real-world deployment. Learn how version control, CI/CD automation, and real-time monitoring turn AI projects into reliable, scalable business solutions.
Discover how to prevent model drift, reduce deployment delays, and collaborate more effectively across data science, engineering, and operations teams. Whether building generative AI applications or managing machine learning systems, MLOps helps transform promising models into lasting imp…
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Chapters (6)
When a Perfect Model Fails in Production
0:01
What Is MLOps and Why It Matters
0:02
Pillar 1: Version Control & Single Source of Truth
2:55
Pillar 2: Automation with CI/CD Pipelines
4:51
Pillar 3: Monitoring & Preventing Model Drift
6:51
Turning AI Models into Business Assets
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