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
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您将学到什么
Aggregate agent performance data and apply statistical A/B tests to objectively measure and validate improvements in AI systems.
您将获得的技能
- CrewAI
- Statistical Methods
- Performance Metric
- LangChain
- Agentic systems
- Statistical Inference
- Business Metrics
- Statistical Hypothesis Testing
- Performance Testing
- Key Performance Indicators (KPIs)
- Data-Driven Decision-Making
- Correlation Analysis
- Generative AI Agents
- AI Workflows
- Data Analysis
- Business Intelligence
- Descriptive Analytics
- Data Transformation
- Statistical Analysis
- Event Monitoring
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Agentic AI Performance & Reliability 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
This module establishes the foundation for effective AI agent performance analysis. Learners will move beyond raw system logs to create structured, high-level metrics suitable for business intelligence and monitoring. The module focuses on applying data aggregation techniques with SQL and dbt to transform operational data into meaningful key performance indicators (KPIs) like conversation counts and latency.
涵盖的内容
2个视频1篇阅读材料2个作业
Module Description: This module equips learners with the skills to scientifically prove the effectiveness of changes to their AI agents. Learners will move from correlation to causation by designing and analyzing controlled A/B experiments. The module provides hands-on experience with statistical hypothesis testing, focusing on the Chi-square test to determine if observed performance improvements are statistically significant.
涵盖的内容
3个视频1篇阅读材料2个作业1个非评分实验室
获得职业证书
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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