- Course
AIOps: AI Lifecycle Management
AI models require continuous lifecycle management to stay effective and secure. This course will teach you to maintain, monitor, retrain, and decommission AI models while ensuring data provenance throughout their operational lifecycle.
Intermediate
- Course
AIOps: AI Lifecycle Management
AI models require continuous lifecycle management to stay effective and secure. This course will teach you to maintain, monitor, retrain, and decommission AI models while ensuring data provenance throughout their operational lifecycle.
Intermediate
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This course is included in the libraries shown below:
- AI
What you'll learn
Production AI models face unique operational challenges including model drift, adversarial attacks, and regulatory compliance requirements that demand proactive lifecycle management.
In this course, AIOps: AI Lifecycle Management, you'll learn to manage AI models from deployment through secure retirement.
First, you'll explore the complete AI lifecycle stages and how to track data provenance.
Next, you'll discover how to monitor model performance, test for adversarial vulnerabilities like prompt injection, and make strategic retrain-versus-patch decisions.
Finally, you'll learn how to securely decommission models while satisfying regulatory requirements.
When you're finished with this course, you'll have the skills and knowledge of AI lifecycle management needed to operate production AI systems safely, effectively, and in compliance with governance standards.
AIOps: AI Lifecycle Management
Intermediate
Table of contents
A Unified Communication and Collaboration Consultant, Contact Center Specialist, and a Corporate Trainer.
