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.

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

This course is part of AI-Powered Software Development Certification Specialization

Instructor: Priyanka Mehta

4,746 already enrolled

Included with Learn more

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AI-Powered Software Development Certification Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

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.

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.

What's included

10 videos1 reading3 assignments

10 videosTotal 51 minutes

Learning Objectives3 minutes
What is Software Testing?5 minutes
Steps in Software Testing Life Cycle14 minutes
Frequently Used GenAI Tools in Software Testing2 minutes
Demo: Comparing Traditional and Generative AI-based Test Case Creation4 minutes
Requirement Analysis in STLC2 minutes
Role of GenAI in Requirement Analysis: Clarifying Requirements3 minutes
Role of GenAI in Requirement Analysis: Suggesting Focus Area3 minutes
Role of GenAI in Requirement Analysis: Generating Acceptance Criteria7 minutes
Demo: Analyzing Requirements Using GenAI8 minutes

1 readingTotal 10 minutes

Course Syllabus10 minutes

3 assignmentsTotal 70 minutes

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

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.

What's included

12 videos3 assignments

12 videosTotal 73 minutes

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

3 assignmentsTotal 70 minutes

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

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.

What's included

6 videos4 assignments

6 videosTotal 27 minutes

Role of GenAI in Environment Setup5 minutes
Providing Scripts and Interpreting Test Results: Examples7 minutes
Demo: Optimizing Test Execution Using GenAI4 minutes
Role of GenAI in Test Cycle Closure4 minutes
Demo: Automating Test Cycle Closure Using GenAI4 minutes
Key Takeaways3 minutes

4 assignmentsTotal 85 minutes

Quiz on GenAI-Powered Environment Setup15 minutes
Quiz on GenAI-Powered Test Execution15 minutes
Quiz on GenAI-Powered Test Cycle Closure15 minutes
Assessment for Execution and Closure Using GenAI40 minutes

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Instructor

Priyanka Mehta

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92 Courses81,034 learners

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Frequently asked questions

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

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

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

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.