Packt

GenAI for QA - Masterclass in Testing & Automation

通过 Coursera Plus 提高技能,仅需 239 美元/年(原价 399 美元)。立即节省

Packt

GenAI for QA - Masterclass in Testing & Automation

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

8 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

8 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Master the integration of AI tools like ChatGPT and Claude in QA processes.

  • Design and implement scalable web automation frameworks using AI.

  • Apply AI to generate and execute functional test cases for applications.

  • Enhance your API testing capabilities by leveraging AI for automation.

要了解的详细信息

可分享的证书

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最近已更新!

March 2026

作业

10 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

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

该课程共有9个模块

In this module, we will introduce you to the world of GenAI and its pivotal role in modern software testing. You will explore why QA needs AI now and how it can significantly improve the speed and accuracy of testing tasks. Additionally, we will outline the core skills and knowledge you’ll acquire in this course for integrating AI into your testing practices.

涵盖的内容

2个视频1篇阅读材料

In this module, we will walk you through setting up and utilizing different AI assistants like ChatGPT, Claude, and Google Bard. These tools will help streamline your testing workflows, making tasks like test case generation, bug reporting, and documentation automation faster and more efficient.

涵盖的内容

3个视频1个作业

In this module, we will explore the basics of prompt engineering and its importance in obtaining precise AI outputs for QA tasks. You will gain both fundamental and advanced skills in crafting prompts, optimizing AI’s responses for more accurate and efficient testing results.

涵盖的内容

2个视频1个作业

In this module, we will focus on how to apply AI to functional testing, from automating test creation to generating detailed test cases for web and mobile applications. You’ll also learn how AI can aid in crafting a comprehensive test strategy and improving test coverage and reporting.

涵盖的内容

6个视频1个作业

In this module, we will guide you through building robust web automation frameworks with AI. You will learn how to set up frameworks, identify UI elements, refactor code for maintainability, and create data-driven tests. AI will also help you in retrying failed tests and generating advanced reports.

涵盖的内容

6个视频1个作业

In this module, we will introduce you to the Rest Assured framework for API testing and demonstrate how AI can streamline the setup and implementation of your API testing framework. You will also learn how AI can assist in debugging and generating insightful logs and reports for API tests.

涵盖的内容

3个视频1个作业

In this module, we will dive into AI-powered pair programming tools like GitHub Copilot. You’ll learn how to leverage these tools to automatically generate test classes, parameterize test data, and transform manual test cases into automated scripts. Additionally, we will explore AI-assisted debugging and auto-documentation techniques.

涵盖的内容

5个视频1个作业

In this module, we will guide you through setting up and using a private LLM for offline use. You’ll learn how to configure AI tools to remain secure and fully independent of external servers, enabling you to maintain full control over your testing tasks and sensitive data.

涵盖的内容

2个视频1个作业

In this module, we will introduce you to TestRigor, an AI-first testing tool that automates test creation and execution. You’ll learn how to set up TestRigor for web and API testing, leverage data-driven testing, and take advantage of its self-healing capabilities for low-maintenance, reliable automation.

涵盖的内容

7个视频3个作业

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