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

Access provided by CelcomDigi Berhad

1,750 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

18 reviews

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.

18 reviews

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 videos Total 51 minutes

Learning Objectives 3 minutes
What is Software Testing? 5 minutes
Steps in Software Testing Life Cycle 14 minutes
Frequently Used GenAI Tools in Software Testing 2 minutes
Demo: Comparing Traditional and Generative AI-based Test Case Creation 4 minutes
Requirement Analysis in STLC 2 minutes
Role of GenAI in Requirement Analysis: Clarifying Requirements 3 minutes
Role of GenAI in Requirement Analysis: Suggesting Focus Area 3 minutes
Role of GenAI in Requirement Analysis: Generating Acceptance Criteria 7 minutes
Demo: Analyzing Requirements Using GenAI 7 minutes

1 reading Total 10 minutes

Course Syllabus 10 minutes

3 assignments Total 70 minutes

Assessment for Foundations of Generative AI in Software Testing 40 minutes
Quiz on Software Testing: The Generative AI Way 15 minutes
Quiz on GenAI-Powered Requirement Analysis 15 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 videos Total 73 minutes

Role of GenAI in Test Planning 10 minutes
Demo: Optimizing Test Planning for Healthcare Analytics Platform Using GenAI 7 minutes
Role of GenAI in Test Case Development 4 minutes
Generating Test Cases: Example 3 minutes
Demo: Automating Test Case Generation Using testRigor 7 minutes
Generating Synthetic Test Data: Examples 2 minutes
Demo: Generating Synthetic and Augmented Datasets Using Generative AI Tools 9 minutes
Creating Test Scenarios: Example 3 minutes
Demo: Creating and Executing Scenario-Based Tests Using Generative AI 16 minutes
Test Case Prioritization: Example 3 minutes
Automating Test Case Documentation 3 minutes
Demo: Automating Test Case Prioritization and Documentation Using Generative AI 6 minutes

3 assignments Total 70 minutes

Assessment for Test Design and Data Preparation with GenAI 40 minutes
Quiz on GenAI-Powered Test Planning 15 minutes
Quiz on GenAI-Powered Test Case Development 15 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.