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AI Driven Test Automation Engineering is an intensive, hands-on bootcamp designed to build real-world skills in software testing, automation frameworks, and AI-assisted quality engineering. The course covers manual testing, Selenium, API testing, CI/CD integration, and AI tools for test optimization through practical labs, real-world scenarios, and a capstone project preparing learners for roles like Automation Engineer, QA Analyst, and SDET.

Program Curriculum

Provides a comprehensive overview of core computing and testing concepts, including the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and essential testing principles. The module covers critical testing documents, manual versus automation testing, risk analysis, and practical assessments to build a strong testing foundation.


Module Lessons:

  1. Introduction to SDLC
  2. Introduction to STLC
  3. Critical Documents in Testing
  4. Manual Testing vs Automation Testing
  5. Risk Analysis in Testing
  6. Practical Assessments


Tools and Technologies Covered:


Offers an exploration of JIRA and TestRail, guiding students through installation, configuration, and practical application. The module focuses on task and test management, project activities, workflow handling, and bug tracking, with assessments designed to ensure proficiency in using JIRA for effective testing processes.


Module Lessons:

  1. Introduction to JIRA and TestRail
  2. Installation and Setup
  3. Task and Test Management in JIRA
  4. Project Activities and Workflow Management
  5. Bug Tracking and Reporting
  6. Practical Application and Real-World Scenarios
  7. Assessment for Proficiency


Tools and Technologies Covered:


Provides a comprehensive exploration of Agile and Scrum methodologies, covering Agile development fundamentals, in-depth Scrum framework concepts, essential ceremonies, and critical technical documentation. The module includes practical assessments to evaluate students’ proficiency in applying Scrum practices.


Module Lessons:

  1. Introduction to Agile Development
  2. Scrum Framework Overview
  3. Key Scrum Roles
  4. Critical Technical Documentation in Scrum
  5. Practical Assessments


Tools and Technologies Covered:


Provides an in-depth exploration of backend testing, focusing on SQL, PL/SQL, and TOAD. The module guides students through advanced SQL database objects, stored procedures, DBMS principles, and normalization techniques, with assessments designed to ensure proficiency in back-end testing practices.


Module Lessons:

  1. Introduction to Backend Testing
  2. SQL Database Essentials
  3. PL/SQL Programming Concepts
  4. Database Management System (DBMS) Principles
  5. Normalization Techniques
  6. Using TOAD for SQL and PL/SQL
  7. Backend Testing Techniques and Best Practices
  8. Assessment and Practice Tests


Tools and Technologies Covered:


Immerses students in an industrial project that applies the complete manual testing curriculum within a simulated work environment. The module covers requirement writing, defect logging, GitHub and JIRA utilization, test plan creation, test case execution, SQL query writing, and comprehensive evaluation to ensure practical expertise in end-to-end manual testing processes.


Module Lessons:

  1. Bootcamp Overview and Project Introduction
  2. Requirement Analysis and Documentation
  3. Test Planning and Strategy Development
  4. Test Case Design and Execution
  5. Defect Lifecycle Management
  6. Version Control with GitHub
  7. Project Management with JIRA
  8. SQL for Backend Testing
  9. Comprehensive Project Execution and Review
  10. Bootcamp Assessment and Feedback


Tools and Technologies Covered:


Provides a comprehensive exploration of Git and GitHub, empowering students with skills in version control and collaborative software development. The module covers installation, configuration, branching, merging, conflict resolution, and managing repositories on GitHub, with expertise built through hands-on activities and evaluation through oral and written tests.


Module Lessons:

  1. Introduction to Version Control and Git
  2. Installing and Configuring Git
  3. Basic Git Workflow
  4. Branching and Merging
  5. Conflict Resolution
  6. Working with Remote Repositories on GitHub
  7. Collaborative Development with GitHub
  8. Repository Management and Best Practices
  9. Advanced Git Techniques
  10. Module Assessment and Hands-on Exercises


Tools and Technologies Covered:


Offers a comprehensive guide to Java programming for test automation, covering both foundational and advanced concepts. The module includes development environment setup using Eclipse and IntelliJ, tools installation, GitHub version control, and unit testing frameworks such as JUnit and TestNG, with a strong emphasis on object-oriented programming principles.


Module Lessons:

  1. Introduction to Java for Test Automation
  2. Setting Up the Development Environment
  3. Java Basics: Syntax, Variables, and Data Types
  4. Object-Oriented Programming (OOP) Fundamentals
  5. Advanced OOP Concepts
  6. Exception Handling in Java
  7. Collections Framework and Data Structures
  8. Version Control with GitHub for Java Projects
  9. Unit Testing with JUnit and TestNG
  10. Module Assessment and Practical Exercises


Tools and Technologies Covered:


Offers comprehensive insights into Behavior-Driven Development (BDD) through mastering Cucumber, enabling students to adopt BDD testing and collaborative automated testing practices without requiring prior Selenium knowledge.


Module Lessons:

  1. Introduction to Behavior-Driven Development (BDD)
  2. Getting Started with Cucumber
  3. Gherkin Language and Writing Scenarios
  4. Step Definitions and Glue Code
  5. Data-Driven Testing in Cucumber
  6. Tags, Hooks, and Test Organization
  7. Collaborative Practices in BDD Testing
  8. Integrating Cucumber with Version Control (GitHub)
  9. Running and Analyzing Cucumber Tests
  10. Module Assessment and Hands-on Exercises


Tools and Technologies Covered:


Enable students to master Selenium skills from Remote Control to WebDriver and Grid, including advanced locator strategies, test control using JUnit and TestNG, cloud-based testing, backend testing with JDBC, and an introduction to performance testing with JMeter. This module builds strong end-to-end automation capabilities for modern web applications.


Module Lessons:

  1. Introduction to Selenium and its Evolution
  2. Locating Web Elements: Mastering Locator Strategies
  3. Working with Selenium WebDriver
  4. Handling Advanced Web Elements and Actions
  5. Test Control with JUnit and TestNG
  6. Selenium Grid for Distributed Testing
  7. Cloud-Based Testing with Selenium
  8. Backend Testing with JDBC
  9. Introduction to Performance Testing with JMeter


Tools and Technologies Covered:


Students explore fundamental API concepts, HTTP methods, request-response structures, authentication mechanisms, and gain practical experience using REST Assured—a powerful Java library for API testing. This module provides a strong foundation for successful API test automation and scalable testing practices.


Module Lessons:

  1. Introduction to RESTful APIs
  2. HTTP Methods and Request-Response Structure
  3. Introduction to REST Assured
  4. Advanced REST Assured Techniques
  5. Working with XML in APIs
  6. API Test Automation Best Practices


Tools and Technologies Covered:


Students gain comprehensive knowledge of API testing using Postman, covering installation, advanced topics such as authentication and authorization, creating mock servers, building REST API requests, writing robust tests and scripts, and automating tests with Newman. This module ensures proficiency in leveraging Postman for efficient API testing and automation across diverse scenarios and environments.


Module Lessons:

  1. Introduction to Postman and Installation
  2. Creating and Managing API Requests
  3. Authentication and Authorization
  4. Writing Tests and Scripting in Postman
  5. Working with Mock Servers
  6. Automating API Tests with Newman


Tools and Technologies Covered:


Learners master the art of designing automation frameworks and building resilient Continuous Integration/Continuous Deployment (CI/CD) environments. The module covers 3-tier architecture, multi-module framework design, Jenkins server setup, Maven for build and dependency management, and GitHub for version control, with a focus on configuring a local CI/CD environment to orchestrate seamless testing processes for efficient software development.


Module Lessons:

  1. CI/CD and Test Automation Frameworks Introduction
  2. 3-Tier Architecture in Test Automation
  3. Multi-Module Framework Design
  4. Jenkins Server Setup and Configuration
  5. Using Maven for Build and Dependency Management
  6. Version Control with Git and GitHub
  7. Configuring Local CI/CD Pipeline


Tools and Technologies Covered:


Empowers participants to design a robust Automation Test Plan, create scenarios for regression testing and compliance, excel in scripting with custom functions and adaptable frameworks, utilize JIRA for script management, and culminate in submitting and evaluating real-time test projects—ensuring participants emerge as Automation Masters ready to tackle dynamic testing challenges.


Module Lessons:

  1. Creating an Automation Test Plan
  2. Scenario Design for Regression and Compliance Testing
  3. Advanced Scripting Techniques and Custom Functions
  4. Framework Utilization and Adaptation
  5. Script Management with JIRA
  6. Real-Time Project Execution and Submission


Tools and Technologies Covered:


This module introduces students to leading AI-enhanced test automation tools widely used in the U.S. market, including GitHub Copilot, Applitools, Katalon Studio, TestRigor, and Diffblue Cover. Learners explore how AI improves test accuracy, self-healing, visual validation, and automated test generation in Java/Selenium environments. The module combines hands-on practice with real-world tools to build intelligent, maintainable, and scalable automated testing frameworks.


Module Lessons:

  1. Introduction to AI in Test Automation
  2. Java & Selenium Test Framework Fundamentals
  3. AI-Driven Testing Tools Overview
  4. Hands-on with Intelligent Automation
  5. Building Scalable Test Suites
  6. Test Reporting and Maintenance


Tools and Technologies Covered:


Automation Engineers earn between $100K–$145K+ in the US (2026) as AI-driven testing demand rises.
Power your testing career with AI-driven automation
Program Type
Job Placement Training
Total Duration
4 Months
Certifications
Professional Certification
Instructor Experience
17 Years

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For more details about the bootcamp Call Us: (855) 562-7448

Benefit of our Industrial Bootcamp Training

Learn from Industry Experts

Gain real-world skills guided by experienced industry professionals.

Learn Anytime, Anywhere

Learn anytime, anywhere with flexible online classes designed for you.

Free Resources

Access free guides, tools, and learning materials anytime.

Skill-based Learning

Learn practical skills to build real-world career opportunities.

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Your Next Step Towards Job Placement

The application process is comprised of three basic steps. The shortlisted candidates will receive an admission offer, which they can accept by paying the admission cost.

Submit Application

Easily apply to any of our bootcamps by completing a simple online form and submitting required information.

Reserve Your Seat

An admission panel will shortlist students based on their application

Start Learning

Selected students can commence the program within short time

Hear from our Beneficiaries

Rasik Aryal
Alumni, PIIT
Kaniz Ruma
Alumni, PIIT
Shahid Aslam
Alumni, PIIT
faq

More Questions, Find the Answers Here

We've compiled answers to some of the most common questions ask.

This program focuses on modern software testing using automation frameworks combined with AI-powered techniques. You will learn how companies are shifting from manual testing to intelligent automation for faster and more reliable releases.

Yes, the program is beginner-friendly and designed for both IT and non-IT learners. You will start with basic testing concepts and gradually move into automation and AI-driven testing practices.

You will learn automation tools, test frameworks, API testing, and AI-assisted test generation techniques. These skills help reduce manual effort and improve testing efficiency in real-world projects.

You can target roles like QA Engineer, Automation Test Engineer, and Software Development Engineer in Test (SDET). These roles are critical in modern software teams where speed and quality both matter.

Automation testing demand is growing rapidly as companies aim for faster software delivery cycles. In 2026, automation engineers in the US earn around $100K–$120K+ depending on experience.

AI is used to automatically generate test cases, detect bugs faster, and improve test coverage. This reduces manual workload and makes testing smarter and more efficient.

Yes, you will work on real automation frameworks, test scenarios, and projects that reflect actual industry workflows. This helps you build a strong portfolio for job applications.

Yes, as companies continue to adopt DevOps and continuous delivery, automation testing becomes essential. AI-driven testing skills will keep you relevant and competitive in the long term.

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