Analyze Agent Performance: Build and Test is an intermediate course for data analysts, ML engineers, and developers tasked with optimizing AI systems. In a world where agentic AI is increasingly common, it is not enough to build an agent—you must prove its effectiveness. This course equips you with the data-driven skills to measure, monitor, and improve AI agents built with frameworks like LangChain, Autogen, and CrewAI.
Analyze Agent Performance: Build and Test
Analyze Agent Performance: Build and Test
This course is part of Agentic AI Performance & Reliability Specialization
Instructor: LearningMate
Access provided by Interbank
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
Aggregate agent performance data and apply statistical A/B tests to objectively measure and validate improvements in AI systems.
Skills you'll gain
- Business Metrics
- Statistical Analysis
- Performance Testing
- Generative AI Agents
- Statistical Hypothesis Testing
- Data Analysis
- Agentic systems
- Data-Driven Decision-Making
- Descriptive Analytics
- Business Intelligence
- Performance Metric
- Correlation Analysis
- Statistical Inference
- Event Monitoring
- Statistical Methods
- Key Performance Indicators (KPIs)
- Data Transformation
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
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