Visualize and Alert AI Performance KPIs is an intermediate course designed for data analysts, ML engineers, and product managers responsible for the operational health of AI systems. In the world of AI, a model's success is not just its accuracy—it is its cost, latency, and real-world impact. This course teaches you how to translate complex performance data into clear, actionable insights for any stakeholder.
Visualize and Alert AI Performance KPIs
Visualize and Alert AI Performance KPIs
This course is part of Agentic AI Performance & Reliability Specialization
Instructor: LearningMate
Access provided by ExxonMobil
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design dashboards and automated alerts, translating complex AI performance data into clear, actionable insights for stakeholders.
Skills you'll gain
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Taught in English
Recently updated!
December 2025
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This course is part of the Agentic AI Performance & Reliability Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
This module focuses on transforming complex AI performance data into clear, actionable insights. Learners will learn to critically evaluate visualization choices, applying data storytelling principles to refine cluttered charts into compelling narratives for both technical and non-technical stakeholders. By mastering these skills, learners will be able to design visuals that reduce cognitive load and drive informed decision-making.
What's included
2 videos2 readings1 assignment1 ungraded lab
This module focuses on building automated monitoring systems that protect an organization from budget overruns and performance degradation. Learners will practice defining critical KPIs, setting precise thresholds for AI cost and operational metrics, and configuring automated alerts in business intelligence tools. This module equips learners to create a proactive defense for their AI systems, reducing detection time for failures and safeguarding operational integrity.
What's included
2 videos2 readings3 assignments
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