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AI-Powered Software Testing

AI-Powered Software Testing

 

AI-Powered Software Testing

Build industry-ready skills with practical training, expert guidance and career-focused learning.

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🏆 100% Placement Assistance
Duration

4 Months

Total Hours

160 Hours

🕒
Schedule

Monday – Friday

📅
Mode

Offline / Online

💻
Modules

17 Modules

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Course Overview

The AI-Powered Software Testing Professional Program at Jigsaw TechnoHub is designed to prepare learners for modern software testing roles by combining fundamental software testing concepts, test automation, API testing, performance testing, and AI-powered testing techniques.

The program takes learners from software testing fundamentals to automation frameworks and advanced AI-assisted testing workflows. Through practical assignments, real-world testing scenarios, automation projects, and a final capstone project, students develop the skills required to test modern web and software applications efficiently.

By the end of the programme, students will:

 

  • Understand software testing principles and methodologies
  • Create effective test scenarios and test cases
  • Perform manual and functional testing
  • Identify, document, and manage software defects
  • Perform API testing
  • Automate web application testing
  • Develop automation test scripts
  • Perform database testing
  • Understand performance testing
  • Use AI tools to improve testing productivity
  • Generate and optimize test cases using AI
  • Build automated testing workflows
  • Create a professional software testing portfolio

COURSE MODULES

01 | Introduction to Software Testing

This module introduces students to the fundamentals of software testing and the role of testing in the software development lifecycle.

What You'll Learn

  • Introduction to Software Testing
  • Importance of Software Quality
  • Role of a Software Tester
  • Software Development Life Cycle
  • Software Testing Life Cycle
  • Verification and Validation
  • Quality Assurance vs Quality Control
  • Manual Testing vs Automation Testing
  • Testing principles
  • Types of software applications
  • Testing in Agile environments
  • Introduction to AI in Software Testing

 

02| Software Testing Fundamentals

Students learn the core concepts required to plan, execute, and document software testing activities.

What You'll Learn

  • Test scenarios
  • Test cases
  • Test data
  • Test conditions
  • Expected vs actual results
  • Positive testing
  • Negative testing
  • Functional testing
  • Non-functional testing
  • Smoke testing
  • Sanity testing
  • Regression testing
  • Retesting
  • Exploratory testing
  • Ad-hoc testing

     

    03| Test Case Design & Defect Management

    Students learn how to create effective test cases and professionally report software defects.

    What You'll Learn

    • Test case structure
    • Test case writing
    • Test case execution
    • Test case documentation
    • Boundary Value Analysis
    • Equivalence Partitioning
    • Decision Table Testing
    • State Transition Testing
    • Defect identification
    • Defect lifecycle
    • Severity and Priority
    • Bug reporting
    • Defect tracking
    • Retesting defects
    • Regression testing

     

    04| Web Application Testing

    Students learn how to manually test modern web applications from both functional and usability perspectives.

    What You'll Learn

    • Web application architecture basics
    • Website testing
    • Functional testing of websites
    • Forms and validation testing
    • Navigation testing
    • Browser compatibility testing
    • Responsive testing
    • UI testing
    • Usability testing
    • Session testing
    • Cookies and cache
    • Authentication testing
    • Basic security testing
    • Cross-browser testing

     

    05| Beginner Testing Project

    Students apply their learning to a real-world application.

    Projects

    • E-commerce Website Testing
    • Banking Application Testing
    • Food Delivery Application Testing
    • Student Management System Testing

    Students will prepare:

    • Test scenarios
    • Test cases
    • Test data
    • Bug reports
    • Test execution reports

    Students apply their learning to a real-world application.

    Projects

    • E-commerce Website Testing
    • Banking Application Testing
    • Food Delivery Application Testing
    • Student Management System Testing

    Students will prepare:

    • Test scenarios
    • Test cases
    • Test data
    • Bug reports
    • Test execution reports

     

    06 | Agile Testing & Test Management

    Students learn how software testing works within modern Agile development teams.

    What You'll Learn

    • Agile methodology
    • Scrum framework
    • Scrum roles
    • Sprint planning
    • User stories
    • Acceptance criteria
    • Definition of Done
    • QA activities in Agile
    • Shift-left testing
    • Continuous testing
    • Test planning
    • Test estimation
    • Test execution reporting
    • QA metrics
    • Defect management

     

    07|API Testing

    Students learn to test backend services and APIs using industry-standard tools.

    What You'll Learn

    • Introduction to APIs
    • REST APIs
    • HTTP methods
    • GET, POST, PUT and DELETE
    • HTTP status codes
    • Request and response
    • Headers
    • Parameters
    • JSON and XML
    • Authentication
    • API test cases
    • API validation
    • Postman
    • Collections
    • Environment variables
    • API automation basics

     

    08| SQL & Database Testing

    Students learn how to validate application data and perform database-level testing.

    What You'll Learn

    • Database fundamentals
    • Relational databases
    • Tables and relationships
    • SQL basics
    • SELECT queries
    • INSERT, UPDATE and DELETE
    • WHERE and ORDER BY
    • Joins
    • Aggregate functions
    • Data validation
    • Database testing
    • Backend data verification
    • Data integrity testing
    • Test data validation

     

    09| Automation Testing with Selenium

    Students are introduced to automated web application testing using Selenium.

    What You'll Learn

    • Introduction to test automation
    • Automation testing concepts
    • Selenium WebDriver
    • Browser automation
    • Locators
    • XPath
    • CSS Selectors
    • Web elements
    • Handling forms
    • Dropdowns
    • Alerts
    • Frames
    • Windows and tabs
    • Waits
    • Screenshots
    • Assertions
    • Automated test execution

     

    10| Programming for Test Automation

    Students learn the programming fundamentals required to build automation scripts.

    What You'll Learn

    • Programming fundamentals
    • Variables and data types
    • Operators
    • Conditional statements
    • Loops
    • Functions
    • Arrays and collections
    • Object-oriented programming
    • Exception handling
    • File handling
    • Working with external data
    • Writing reusable automation code

    Programming Focus: Python

    11| Intermediate Automation Projects

    Students develop automated testing solutions for real-world applications.

    Projects

    • Automated E-commerce Testing
    • Automated Login & Registration Testing
    • Automated Banking Application Testing
    • API Testing Project
    • Database Validation Project

     

    12 | Advanced Test Automation Frameworks

    Students learn how professional QA teams structure scalable automation frameworks.

    What You'll Learn

    • Automation framework architecture
    • Page Object Model
    • Data-driven testing
    • Keyword-driven testing
    • Hybrid frameworks
    • Reusable test components
    • Configuration management
    • Test data management
    • Reporting
    • Logging
    • Assertions
    • Parallel test execution
    • Cross-browser automation
    • Framework maintenance

     

    13| AI for Software Testing

    This module introduces AI-powered approaches that improve the speed and effectiveness of software testing.

    What You'll Learn

    • Introduction to AI in Software Testing
    • AI-assisted test case generation
    • AI-assisted test scenario creation
    • AI-generated test data
    • AI-assisted bug analysis
    • AI-powered test optimization
    • AI-assisted test documentation
    • AI-powered test prioritization
    • AI-assisted regression testing
    • AI-based defect classification
    • AI-assisted test script generation
    • Using LLMs for QA workflows

     

    14| Generative AI & Prompt Engineering for QA

    Students learn how Generative AI and prompt engineering can be integrated into everyday testing workflows.

    What You'll Learn

    • Introduction to Generative AI
    • Large Language Models
    • Prompt Engineering fundamentals
    • Writing effective QA prompts
    • Generating test cases using AI
    • Generating test scenarios using AI
    • Generating test data using AI
    • Generating automation scripts
    • AI-assisted debugging
    • AI-assisted documentation
    • Test case optimization using AI
    • Creating reusable QA prompts
    • AI productivity workflows

     

    15| Performance & Security Testing

    Students are introduced to non-functional testing techniques used to evaluate application reliability, performance, and security.

    What You'll Learn

    • Introduction to performance testing
    • Load testing
    • Stress testing
    • Volume testing
    • Scalability testing
    • Performance metrics
    • Response time
    • Throughput
    • Introduction to JMeter
    • Performance test planning
    • Basic web security testing
    • Authentication and authorization testing
    • Input validation
    • Common application vulnerabilities
    • Security testing fundamentals

     

    16| CI/CD & Continuous Testing

    Students learn how automated testing is integrated into modern software development pipelines.

    What You'll Learn

    • Introduction to DevOps
    • CI/CD fundamentals
    • Continuous testing
    • Git fundamentals
    • GitHub
    • Version control
    • Build pipelines
    • Automated test execution
    • Jenkins fundamentals
    • Test reporting
    • Pipeline integration
    • Regression automation
    • Introduction to Docker
    • Testing in CI/CD environments

     

    17| Professional QA Capstone Project & Career Preparation

    Students complete an end-to-end software testing project combining manual testing, automation, API testing, database validation, and AI-assisted QA workflows.

    Capstone Project

    Students will work through:

    Requirement Analysis → Test Planning → Test Scenarios → Test Cases → Test Data → Manual Testing → Defect Reporting → API Testing → Database Testing → Automation → AI-Assisted Testing → Performance Testing → Regression Testing → Test Reporting

    What You'll Create

    • Test Plan
    • Test Scenarios
    • Detailed Test Cases
    • Automated Test Scripts
    • API Test Collection
    • Database Test Queries
    • Defect Reports
    • Test Execution Report
    • Automation Framework
    • Performance Test Report
    • Final QA Project Report

     

    Software & Tools Covered

    Throughout the Professional Program, students will gain practical experience with:

    • Selenium
    • Python
    • Postman
    • JMeter
    • SQL
    • MySQL
    • Git
    • GitHub
    • Jenkins
    • Docker – Introduction
    • Jira
    • Test management tools
    • Chrome DevTools
    • VS Code
    • ChatGPT
    • Google Gemini
    • AI-powered testing tools
    • Generative AI tools
    • Prompt Engineering

    Career Opportunities

    After completing the Professional Program, learners can pursue roles such as:

    • Software Tester
    • QA Tester
    • Quality Analyst
    • Manual Tester
    • Automation Tester
    • QA Automation Engineer
    • Software Test Engineer
    • API Test Engineer
    • QA Engineer
    • Test Automation Engineer
    • Junior SDET
    • Performance Testing Engineer – Entry Level
    • AI-Assisted QA Engineer
    • AI Test Automation Specialist

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    Placements

    Course Cetificate

    Certificate

    The Cloud Computing & DevOps Professional Program at Jigsaw TechnoHub is designed to help learners build practical skills in cloud infrastructure, Linux, networking, virtualization, DevOps practices, automation, containerization, and cloud deployment.

     

    • Work with Linux and cloud infrastructure
    • Understand networking and virtualization
    • Deploy applications on cloud platforms
    • Use Git and GitHub for version control
    • Build and manage Docker containers
    • Create CI/CD pipelines
    • Automate infrastructure deployment
    • Work with Infrastructure as Code

    Ready to Build Your Future?

    Your journey from graduate to professional starts here.Join Jigsaw TechnoHub and gain the skills, confidence, and industry exposure needed to succeed in today's competitive job market.