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Course Description:
The "Software Testing with Gen AI Training" course is designed to provide students with an in-depth understanding of software testing methodologies combined with the latest advancements in AI-driven testing techniques. This course will cover the core principles of software testing, including manual and automated testing, while integrating Artificial Intelligence (AI) tools to enhance testing efficiency, accuracy, and automation. Through this comprehensive training, students will develop the skills required to test software applications in modern development environments using AI technologies.
By the end of this course, participants will be equipped to handle various software testing challenges, applying both traditional and AI-based approaches to ensure software quality, performance, and security.
Course Objectives:
Understanding Software Testing Fundamentals: Learn the basics of software testing, including the types, techniques, and stages of testing.
Manual and Automated Testing: Gain knowledge of both manual testing methods and automation tools that are crucial in today's software development lifecycle.
Introduction to AI in Testing: Understand how AI can be leveraged to enhance the software testing process.
AI Tools for Automated Testing: Get hands-on experience with AI tools like Test.ai, Appvance IQ, and others to automate testing processes.
Integration of AI in Test Cases and Bug Detection: Learn to use AI algorithms to generate test cases and detect bugs more efficiently.
Performance Testing with AI: Explore AI techniques to analyze and optimize the performance of software applications.
Quality Assurance using AI: Learn how AI can improve overall software quality assurance, reducing human error and testing time.
Advanced Topics in Software Testing and Gen AI: Study the latest trends and technologies in AI-assisted testing, such as predictive analytics, machine learning models, and AI-based test data generation.
Course Module:
Module 1: Introduction to Automation Testing
Manual vs Automation Testing
Software Testing Life Cycle (STLC)
Overview of Automation Tools & Frameworks
Module 2: Core Automation Tools & Scripting
Selenium WebDriver with Java/Python
TestNG & JUnit for test structuring
Maven for project and dependency management
Page Object Model (POM) & Data-driven testing
Module 3: API Testing
REST API Basics
Testing APIs using Postman
Automation with REST Assured
Validating responses, headers, and authentication
Module 4: CI/CD and Version Control
Basics of Git & GitHub
Integration with Jenkins for automated test runs
Reporting with Extent Reports and Allure
Module 5: Gen AI for Test Automation
Introduction to Generative AI and LLMs
Using ChatGPT/Copilot to write and review test scripts
Automating test case generation and documentation
Gen AI for bug triaging and test data creation
Ethical use and prompt engineering for testing
Module 6: Real-World Projects
Web application automation (end-to-end)
API test automation for a sample service
AI-generated test suite for a mock web app
Final capstone project: Integrate Gen AI with Selenium + CI pipeline
Module 7: Resume & Interview Preparation
Resume writing for Automation Test Engineers
LinkedIn Optimization & GitHub Portfolio Tips
Mock Interviews and Common Interview Questions
Access to job referrals and recruiter support

Upcoming Batches: Choose as per Your Requirement




Our Mentors:
Richa Gupta


QA Engineer in Wipro


Arshi Kumari
QA Manager in TCS


Ahmed Khan
Cloud Engineer in Cognizant


Abhishek Singh
Cloud Engineer in IBM
Our Mentors:


Richa Gupta
QA Engineer in Wipro


Aina Rathor
DevOps Engineerex-Deloitte


Ahmed Khan
Coud Engineer in Cognizant
Coud Engineer in IBM
Abhishek Singh


Our Alumni Work at Top Companies
















































FAQs – Software Testing with Gen AI at GIMIT
1. Who is this course designed for?
This course is designed for software testers, quality assurance professionals, developers, and anyone interested in learning how to integrate AI into the software testing process.
2. What are the prerequisites for this course?
Basic knowledge of software development and testing principles is recommended. Familiarity with programming languages like Java or Python is helpful but not required.
3. What will I learn in this course?
You will learn manual and automated testing techniques, how to apply AI to enhance testing processes, and how to use AI-based tools to automate test case generation, bug detection, and performance testing.
4. How long is the course?
The course is typically structured over 8 weeks, with a flexible online schedule. It includes lectures, assignments, and hands-on projects.
5. What tools will I learn to use in this course?
You will learn to use tools like Selenium, Appium, Test.ai, Appvance IQ, JIRA, and others, along with AI-driven tools for automation and performance testing.
6. Is there a certification at the end of the course?
Yes, upon successful completion of the course and capstone project, you will receive a certificate from GIMIT Education Institute.
7. Can I access course materials after completing the course?
Yes, you will have lifetime access to course materials and any updates to the content.
8. Is this course available in a self-paced format?
Yes, the course is available in both instructor-led and self-paced formats to suit your learning style and schedule.
9. What kind of support is provided during the course?
You will have access to 24/7 online support through forums, emails, and direct communication with instructors.
10. What career opportunities can this course open for me?
Upon completing this course, you will be prepared for roles like Software Test Engineer, QA Analyst, Test Automation Engineer, AI Testing Specialist, and more in various industries such as IT, finance, healthcare, and e-commerce.