Monitor, Scale and Backup Your AI App is an intermediate course for developers, system administrators, and AI practitioners responsible for the operational health of AI applications. In today's world, deploying an AI model is just the beginning; ensuring it runs reliably under pressure is what defines success. This course provides the essential skills to guarantee your AI services are performant, resilient, and always available.
Monitor, Scale and Backup Your AI App
Monitor, Scale and Backup Your AI App
This course is part of Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
Instructor: LearningMate
Access provided by Cisco Systems
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Effectively monitor, scale, and back up AI applications to ensure optimal performance and meet service level agreements (SLAs).
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Taught in English
Recently updated!
January 2026
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This course is part of the Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
This module focuses on establishing a foundation for operational excellence by teaching learners how to monitor AI applications proactively. You will learn to identify key performance indicators and use platform analytics to set up real-time dashboards and automated alerts. This ensures that potential issues are caught and addressed before they impact users, drawing on real-world practices like those used with Azure AI Foundry.
What's included
2 videos1 reading1 assignment
In this module, learners will discover how to ensure their AI applications can handle fluctuating demand. You will learn to analyze performance metrics to make intelligent scaling decisions, balancing cost and responsiveness. The module covers different scaling strategies and how to apply them to meet latency requirements and service level agreements, using the Azure AI Search and Datadog integration as a guiding example.
What's included
2 videos1 reading2 assignments
This final module addresses the critical need for disaster recovery and data protection. Learners will learn to evaluate and design backup and restore procedures that align with business requirements like Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). The module emphasizes the importance of regular testing and validation to ensure compliance and minimize downtime, incorporating insights from the CAST AI and Corptec case studies.
What's included
2 videos1 reading2 assignments
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