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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-models-ai-testing/
课程评论：没有评论
课程名称：机器学习模型（AI）测试入门 课程概述：本课程将向您介绍机器学习模型测试的世界。随着人工智能在各个行业的革命性发展，许多企业正在开发自己的机器学习模型以提升业务运营。然而，测试这些模型面临着与传统软件测试截然不同的独特挑战。机器学习模型的测试需要对数据质量和模型行为有更深入的理解，以及理解驱动这些模型的算法。课程开始时将解释人工智能和机器学习的基本概念，随后深入探讨机器学习模型的测试概念和策略，并结合实际案例进行讲解。 课程大纲概述： 1. 人工智能简介 2. 机器学习模型及其生命周期概述 3. 机器学习工程阶段的左移测试 4. 机器学习验证阶段的质量保证功能测试 5. 机器学习模型的API测试范围 6. 机器学习模型的负责任AI测试 7. 机器学习模型部署后的测试策略 8. 生产环境中质量保证的持续追踪和监控活动 课程结束时，您将掌握在机器学习模型整个生命周期中的测试工作。请注意，本课程强调机器学习测试中独特的专业测试类型和方法论，并结合真实案例进行学习。课程中不涉及特定的编程语言或代码。
This course will introduce you to the World of Machine Learning Models Testing. As AI continues to revolutionize industries, many companies are developing their own ML models to enhance their business operations. However, testing these models presents unique challenges that differ from traditional software testing. Machine Learning Model testing requires a deeper understanding of both data quality and model behavior, as well as the algorithms that power them.This Course starts with explaining the fundamentals of the Artificial Intelligence & Machine Learning concepts and gets deep dive into testing concepts & Strategies for Machine Learning models with real time examples.Below is high level of Agenda of the tutorial:Introduction to Artificial IntelligenceOverview of Machine Learning Models and their LifecycleShift-Left Testing in the ML Engineering PhaseQA Functional Testing in the ML Validation PhaseAPI Testing Scope for Machine Learning ModelsResponsible AI Testing for ML ModelsPost-Deployment Testing Strategies for ML ModelsContinuous Tracking and Monitoring Activities for QA in ProductionBy the end of this course,you will gain expertise in testing Machine Learning Models at every stage of their lifecycle.Please Note:This course highlights specialized testing types and methodologies unique to Machine Learning Testing, with real-world examples.No specific programming language or code is involved in this tutorial.
