What is generative AI in software testing?

Generative AI in software testing uses AI models to automate tasks like test case creation, data generation, and requirement analysis.

Can AI be used in software testing?

Yes, AI can automate repetitive tasks, improve test accuracy, and enhance efficiency across the software testing lifecycle.

What is the scope of AI in software testing?

AI has broad scope from test planning and execution to defect prediction and reporting boosting speed and coverage in QA processes.

Is generative AI in software testing good career?

Yes, it’s an emerging field with strong demand, offering QA professionals a competitive edge and future-proof career path.

When will I have access to the lectures and assignments?

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.

What will I get if I subscribe to this Specialization?

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.

Is financial aid available?

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.

Generative AI in Software Testing Training

Generative AI in Software Testing Training

本课程是 AI-Powered Software Development Certification 专项课程的一部分

位教师：Priyanka Mehta

3,569 人已注册

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

32 条评论

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

32 条评论

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Automate test planning, case creation, and documentation using GenAI tools
Generate and manage synthetic test data for realistic testing scenarios
Execute and analyze tests efficiently with AI-powered scripts and insights
Streamline requirement analysis and test cycle closure using real-world GenAI demos

您将获得的技能

您将学习的工具

Generative AI

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

10 项作业

授课语言：英语（English）

91%

of learners achieved a positive career outcome

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

积累特定领域的专业知识

本课程是 AI-Powered Software Development Certification 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3个模块

This beginner-friendly course explores how Generative AI is transforming software testing across the QA lifecycle. Learn to automate requirement analysis, test planning, test case development, execution, and closure using cutting-edge tools like testRigor. Discover how AI simplifies environment setup, creates synthetic test data, prioritizes test cases, and enhances reporting through real-world demos. Gain hands-on experience comparing traditional vs GenAI-driven workflows and improve testing speed, accuracy, and coverage with AI-powered automation.

Basic understanding of software testing or QA processes is recommended. By the end of this course, you will be able to: - Use GenAI tools to automate requirement analysis, test design, and execution - Generate test cases, synthetic data, and acceptance criteria with AI - Optimize test planning and cycle closure with minimal manual effort - Apply tools like testRigor for real-world GenAI-powered testing tasks - Evaluate GenAI adoption using examples from industries like healthcare analytics Ideal for QA professionals, testers, and tech teams looking to enhance testing workflows with AI.

单元详情

Learn the foundations of Generative AI in software testing, from understanding the software testing life cycle to analyzing requirements with AI tools. Explore how GenAI enhances test case creation, clarifies requirements, suggests focus areas, and generates acceptance criteria. Includes hands-on demos comparing traditional and AI-based methods. Ideal for QA professionals and testers exploring AI-powered testing.

涵盖的内容

10个视频1篇阅读材料3个作业

10个视频总计51分钟

Learning Objectives3分钟
What is Software Testing?5分钟
Steps in Software Testing Life Cycle14分钟
Frequently Used GenAI Tools in Software Testing2分钟
Demo: Comparing Traditional and Generative AI-based Test Case Creation4分钟
Requirement Analysis in STLC2分钟
Role of GenAI in Requirement Analysis: Clarifying Requirements3分钟
Role of GenAI in Requirement Analysis: Suggesting Focus Area3分钟
Role of GenAI in Requirement Analysis: Generating Acceptance Criteria7分钟
Demo: Analyzing Requirements Using GenAI7分钟

1篇阅读材料总计10分钟

Course Syllabus10分钟

3个作业总计70分钟

Assessment for Foundations of Generative AI in Software Testing40分钟
Quiz on Software Testing: The Generative AI Way15分钟
Quiz on GenAI-Powered Requirement Analysis15分钟

Master test design and data preparation using Generative AI. Learn how AI enhances test planning, automates test case development, and generates synthetic data. Explore real-world demos with tools like testRigor to create, prioritize, and document test cases. See how GenAI improves planning for complex systems like healthcare analytics. Ideal for testers aiming to streamline QA workflows with AI.

涵盖的内容

12个视频3个作业

12个视频总计73分钟

Role of GenAI in Test Planning10分钟
Demo: Optimizing Test Planning for Healthcare Analytics Platform Using GenAI7分钟
Role of GenAI in Test Case Development 4分钟
Generating Test Cases: Example3分钟
Demo: Automating Test Case Generation Using testRigor7分钟
Generating Synthetic Test Data: Examples2分钟
Demo: Generating Synthetic and Augmented Datasets Using Generative AI Tools9分钟
Creating Test Scenarios: Example 3分钟
Demo: Creating and Executing Scenario-Based Tests Using Generative AI16分钟
Test Case Prioritization: Example3分钟
Automating Test Case Documentation3分钟
Demo: Automating Test Case Prioritization and Documentation Using Generative AI6分钟

3个作业总计70分钟

Assessment for Test Design and Data Preparation with GenAI40分钟
Quiz on GenAI-Powered Test Planning15分钟
Quiz on GenAI-Powered Test Case Development15分钟

Explore how Generative AI streamlines test execution and closure processes. Learn to set up testing environments, generate scripts, and interpret results using AI. Understand how GenAI supports test cycle closure through automation and insights. Includes hands-on demos to optimize execution and reporting. Ideal for QA teams looking to boost testing efficiency with AI-powered workflows.