Machine Learning Operations with Vertex AI: Model Evaluation

Machine Learning Operations with Vertex AI: Model Evaluation

位教师：Google Cloud Training

访问权限由 Coursera Learning Team 提供

4个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

2 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

2 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Understand the nuances of model evaluation in both predictive and generative AI, recognizing its crucial role within the MLOps lifecycle.
Identify and apply appropriate evaluation metrics for different generative AI tasks.
Efficiently evaluate generative AI with Vertex AI's diverse evaluation services, including both computation-based and model-based methods.
Implement best practices for LLM evaluation, to ensure robust and reliable model deployment in production environments.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

2 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.

Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

This module covers the course objectives and provides an overview of the course structure.

涵盖的内容

1个视频

This module introduces model evaluation challenges and solution offerings by Vertex AI.

涵盖的内容

3个视频1篇阅读材料1个作业

This module describes challenges of evaluating the Generative AI tasks and best practices to overcome these challenges. The module also covers the different types of model evaluation services available in Vertex AI and then introduces Vertex AI Automatic Metrics, Automatic Side by Side and Safety Bias evaluation services.