About this Course
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. You will learn to move beyond cluttered dashboards by applying data storytelling principles to design effective visualizations, transforming confusing charts into compelling narratives that drive decisions. Through hands-on labs, you will master the art of creating proactive monitoring systems. You will learn to define critical KPIs, set precise, meaningful thresholds for cost and performance, and configure automated alert rules in business intelligence tools that notify your team of issues in real-time. By the end of this course, you will be able to build dashboards that empower leadership and create an automated defense that protects your AI systems from budget overruns and performance degradation
What You'll Learn
- Design dashboards and automated alerts for clear AI performance insights
- Apply data storytelling to simplify complex monitoring visuals
- Build proactive monitoring systems defining KPIs and thresholds
- Configure alert rules to promptly notify teams of issues
Prerequisites
- Basic familiarity with AI and data science concepts
- Willingness to engage in hands-on labs and exercises
Instructors
LearningMate