Software Testing with Gen AI

Major Industry Recruiters

Major Industry Recruiters

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.