Full Stack AI-Powered Testing
The Full-Stack Testing with Gen AI & Agentic AI course gives learners a complete foundation in software testing by combining manual testing, automation skills, and modern AI-driven techniques. Students begin by understanding software testing fundamentals, SDLC models, Agile methodologies, defect identification, and the real-time QA process.
Course Duration
90 Days
Course Language
Telugu, English
Learning Format
Offline/Online Training/Hybrid Training
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Description
The Full-Stack Testing with Gen AI & Agentic AI course gives learners a complete foundation in software testing by combining manual testing, automation skills, and modern AI-driven techniques. Students begin by understanding software testing fundamentals, SDLC models, Agile methodologies, defect identification, and the real-time QA process. This helps them build a strong base in how software is developed, why testing is essential, and how testers contribute to product quality.
The course then moves into automation testing, where learners gain hands-on experience with Selenium, object identification, and Core Java. They learn how to write and execute automation scripts using Eclipse, debug code, evaluate tools, and understand when and how automation should be applied. This ensures students are comfortable testing both front-end and back-end functionalities using industry-standard tools and practices.
What makes this program standout is its powerful integration of AI, GenAI, and Agentic AI in the testing workflow. Learners explore how AI works, its key components, and how modern testers can use tools like ChatGPT and Claude for test case generation, test data creation, bug identification, and documentation. They also get exposure to Agentic AI tools such as TestCraft for self-healing automation and auto test script generation. By the end of the course, students are equipped with future-ready skills to perform faster, smarter, and more efficient testing across all layers of software.
Skills you get
- Strong Foundation in Manual Testing
- Automation Testing Skills with Selenium & Java
- Generative AI Skills for Test Case & Data Creation
- Prompt Engineering for Software Testing
- Agentic AI–Driven Test Automation
- End-to-End Full-Stack Testing Expertise
Course Contents
- 90 Days
- Telugu, English
- Offline/Online Training/Hybrid Training
Mannual Testing
Software Testing Fundamentals
- Introduction to Software Testing
- Software Development Process
- SDLC Real Time process Steps
- What is Software & Software
Testing? - Define QA Process
- History of Software testing
- Objective of Testing
- Why Testing required?
- When to start Testing
- Testing importance
- Definition, Basics & Types
Software Testing as a Career Path
(Skills, Salary, Growth) - Why software has Defects
- Services based vs Product based
Companies
Testing Roles and Responsibilities
- Software Test Engineer
- Real Time Job Role of Tester
- Senior Software Test Engineer
- Test Lead
- Test Manager
Software Testing Methods
- White Box Testing
- Black Box Testing
- Gray Box Testing
- Difference of Whitebox &
Blackbox Testing
Software Development Life Cycle - SDLC
- What is SDLC?
- SDLC Phases
- SDLC Models
- Waterfall model
- V model
- Verification & Validation
- Agile Model
Agile Process Concepts
- What is agile?
- Why Agile is important
- Agile Testing principles
- What is mean by scrum master
- Roles of Scrum Master
- Sprint Planning
- Sprint Release
- Product Backlog
- What is Epic
- Concept of User Stories
- Defect Backlog
- Standup meeting
- Status meeting
- Scrum meeting
Agile Testing
- Agile Overview
- What is Agile Testing
- Agile Principles
- Agile Methodologies/ Frameworks
- Agile Testing Life Cycle
- Agile Terms
Software Testing Life cycle - STLC Understandin the re uirements
- Requirements Specification
- Business requirement specification
- Software requirement specification
- Functional requirement specification
Test Plan Preparation
- Overview of Test Plan
- Entry and Exit criteria
- Test Plan template
Test Engineer Responsibilities
- LAB Checklist
Creation and working with Folder Structure
Test Scenarios
- Test Scenario Entry and Exit Criteria
- Test Scenario Template
- Test Scenarios Identification
- Writing Test Scenarios for application
Test Cases
- Test cases Entry and Exit Criteria
- Test cases Template
- Test cases Identification
- Test Design Guidelines
Writing Test cases for application - Good Test Case design steps
- Test Data Preparation
Test Case Design Techniques
- Equivalence Class Partitioning
- Boundary Value Analysis
- State Transition Decision Table
- White box Testing Techniques
Software Testing Types
- Smoke Testing
- Sanity Testing
- Re-Testing
- Regression Testing
- Static Testing
- Dynamic Testing
- Ad-hoc Testing
- Functionality Testing
- Usability Testing
- Compatibility Testing
- Data Base Testing
- Interface Testing
- Performance Testing
- Security Testing
User Acceptance Testing
- Alpha Testing
- Beta Testing
- UAT Testing
Test Execution
- When to start Test Execution
- Process to start test execution
- What is build
- Build Release process
- Executing Test Cases on multiple builds
- Test Cases Execution Status
Bug/Defect management
- Defect/ Bug Life Cycle
- Defects Reporting
- Defects Reporting Template
- Defects Reporting & Re-Testing
- Defects Closing
Severity and Priority - Defect / Bug/ Error/ Failure
- Defects in Real Time application
- How to find more bugs
Test/Project management Tool: JIRA
- Introduction to Jira
- Features Of Jira
- Test Case Design in Jira
- Creating Test Cycle
- Test Execution in Jira
- Bug Reporting using Jira
- Jira Dashboard
Status Reports Process
- Daily Status Report
- Daily Defect Report
- Weekly Status Report
- Monthly Status Report
Test Closure
- Criteria for Test Closure
- Test Closure process
- Test Summary Reports
- When testing need to be stopped
Domain Testing (Banking/lnsurance)
- Domain overview
- Why Domain knowledge is Required ?
- Types of Domains
- Domain Terms
- Domain importance
- Types of domain application
- Finding bugs using Domain Testing
Linux Testing — For Testers
- What is Linux
- Key Features of Linux
- Key Components of Linux
- Why Linux for Testers
- Linux File Structure
- Linux Commands for Tester
Playwright Automation With AI Testing
Module 1: Automation Testing Foundations & Playwright Overview
- Introduction to Automation
- Testing Manual vs Automation Testing
- Automation Testing Life Cycle (ATLC)
- Limitations of Selenium
- What is Playwright?
- Why Companies Prefer Playwright
- Key Playwright Features
- Auto Waiting & Stability
- High-Speed Execution
- Cross-Browser Support
- Parallel Execution
- Playwright vs Selenium — Practical Comparison
- JavaScript vs TypeScript —
- Industry Preference Playwright
- Architecture & Execution Flow
Module 2: JavaScript + TypeScript
Core Programming
- Variables (var, let, const)
- Data Types Operators
- Conditional Statements
- Loops , Keywords
- Functions & Arrow Functions
- Arrays & Array Methods
- Strings & String Methods
- Objects & JSON
Asynchronous Programming
Callbacks
- Promises
- Async & Await
TypeScript Concepts
- Why TypeScript?
- Type Inference & Explicit Types
- Function Type Annotations
- Array & Object Type Annotations Enums
- Type Assertion
- Interfaces
- Modules
Module 3: OOPS Concepts for Playwright
- Classes methods & Objects
- Access Modifiers (public, private,
protected) - Inheritance
- Polymorphism
- Encapsulation &
- Abstraction
- interface
- Practical OOPS implementation in Playwright Framework
Module 4: Playwright Setup & Core Concepts
- Playwright Installation
- Project Structure & Best Practices
- Playwright Test Runner
- Browser, Context & Page
- Writing First Playwright Test
- Headed vs Headless Execution
- Playwright Configuration File (playwright.config.ts)
- Running Tests using CLI & npm scripts
Module 5: Locators & User Actions Locators
- Built-in Playwright Locators
- CSS Selectors (Basic to Advanced)
- XPath (Functions, Operators, Axes)
- Role, Label, Text & Placeholder Locators
- Handling Dynamic Elements
- Best Locator Strategies
User Actions
- Input Fields & Buttons Checkboxes & Radio Buttons
- Dropdowns Mouse Actions (Hover, Right Click, Drag & Drop)
- Keyboard Actions
Module 6: Advanced UI Handling
- Auto Waiting & Smart Synchronization
- Explicit Timeouts
- Handling Alerts & Dialogs
- Handling Frames & iFrames
- Shadow DOM
- Web Tables
- File Upload Automation
- Multiple Tabs & Windows
Module 7: Assertions, Debugging & Stability
- Assertions using expect
- Hard Assertions vs Soft Assertions
- Debugging Techniques
page.pause()
Playwright Inspector - Handling Flaky Tests
- Retry Mechanism
- Screenshots on Failure
- Video Recording
- Trace Viewer
Module 8: Test Suite Management & Execution Control
- Test Suite Structure
- Grouping Tests
- Tags & Annotations
- Skip / Only / Fixme
- Test Parameterization
- Parallel Execution
- Cross-Browser Execution
- Device Emulation
- Global Setup & Global Teardown
Module 9: Excel file operation Readin Test Data
- Reading test data from Excel
(.xlsx) using Playwright - Reading test data from CSV files
- Writing data to excel
- Excel with Playwright
Module 10: Automation Frameworks with Playwright Hybrid Automation Framework
- Test Scripts creation
- Test Suite Management
- Base Page Design
- Reusable Common Actions
- Config & Environment
Management - Allure reports
- CI/CD Ready Framework Structure
- Git hub actions
Page Object Model (POM) Framework
- Introduction to POM
- Separating Page Locators & Page Actions
- Test Script Design using POM
- Best Practices for POM
- Maintenance & Scalability
Advantages
Cucumber Framework with Playwright (BDD)
- Introduction to BDD (Behavior Driven Development)
- Cucumber Architecture
- Feature Files & Gherkin Syntax
- Scenarios & Scenario Outlines
- Step Definition Implementation
using Playwright - Hooks in Cucumber
- Mapping Feature * Step
- Definition — Page Classes
- Running Cucumber Tests with
Playwright
Module 11: API Testing with Playwright
- API Testing Fundamentals
- HTTP Methods (GET, POST, PUT,
DELETE) - API Request Context
- Request Headers & Payload Handling
- Response Validation
API Authentication
Token
Bearer
Basic - API Chaining
- Schema Validation using AJV
- Ul + API End-to-End Scenarios
Module 12: Reporting & CI/CD Integration Reporting
- Playwright HTML Reports
- Allure Report Setup &
Configuration - Allure Annotations
- Attaching Screenshots & Logs
- CI-Friendly Reporting
Git & GitHub
- Git Basics (CLD
- Repository Management
- Branching Strategy
- Pull Requests & Merging
Jenkins
- Jenkins Installation & Setup
- Creating Jenkins Jobs
- Integrating Playwright Framework with Jenkins
- Scheduled & Nightly Builds
- Jenkins + Allure Report Integration
Module 13: Al-Powered Automation with Playwright
- GitHub Copilot for Automation
- Al-Based Test Case Generation
- Smart Script Suggestions
- Al-Assisted Debugging
- Playwright Codegen (Record &
Playback) - VS Code Playwright Extension
- Playwright with MCP (Al +
Automation)
Module 14: Data Base Testing using SQL
- What is DataBase
- Types of DataBase
- What is SQL
- Writing SQL queries
- Types of commands
- *DDL: Data definition language
AI – Testing
Module 1: Foundations of Al for Testers
- What is AI? – Overview & Real-world Relevance
- How AI Works – Data, Algorithms, and Learning Loop
- Key Components of AI
- Machine Learning (ML)
- Deep Learning (DL)
- Neural Networks
- Cognitive Computing
- NLP (Natural Language Processing)
- Computer Vision
Module 2: Types of AI & Their Relevance in Testing
- Narrow AI vs General AI vs Super AI
- Reactive Machines vs Limited Memory vs Theory of Mind vs Self-Aware AI
- Practical Use Cases for QA/Testers
Module 3: Generative AI in QA
- What is GenAI? – Why It’s a Game Changer for Testers
- Applications in QA
- Test Case Generation
- Test Data Generation
- Test Documentation (Reports, Plans, Closure)
- Practical Hands-on Prompts
- “Generate 20 negative test cases for a login page”
- “Create 100 fake user profiles for testing”
Module 4: Prompt Engineering for Testers
- What is Prompt Engineering & Why It Matters in QA
- Types of Prompting
- Zero-Shot, Few-Shot, Role-Based, Format-Guided
- Crafting Effective Prompts: Formula (Role + Task + Context + Constraints + Format)
- Best Practices & Pitfalls
- Hands-on Labs
- Writing test cases with structured prompts
- Test Data generation prompts
- Bug report optimization with AI
Module 5: Agentic AI for Test Automation
- What is Agentic AI? (AI + LLM + Autonomy + Actions)
- Why It’s Powerful in QA
- Applications in QA
- Self-Healing Test Automation
- Smart Regression Testing
- Autonomous Test Execution & Bug Logging
- Demo: How an AI Agent Automates Login Test Flow
Module 6: Gen AI Across STLC (Software Testing Life Cycle)
- Requirement Analysis with AI
- Test Planning with AI Assistance
- Test Case Design – Manual & Automation Scripts
- Test Execution – Self-healing Automation
- Defect Reporting & RCA with AI
- Test Closure – Automated Reports & Insights
- Hands-on: Using ChatGPT/Claude to assist in STLC
Module 7: AI Tools for Testers
- Bottest.ai – Automated QA for Conversational AI
- TestCraft – No-code AI-powered Testing
- Testron AI – Agentic Test Generation & Maintenance
- Testers.ai (Checkie.ai) – AI Agents for End-to-End Testing
- Hands-on Setup & Execution
- Installing & Running Testers.ai
Generating Reports & Analysis
Module 8: Testing AI Systems (LLMs & Chatbots)
- How AI Tools Work (NLP + ML Flow)
- Testing Methodologies
- Functional Testing
- Usability Testing
- Performance Testing
- Security Testing
- Scenario Testing: Positive, Negative, Edge Cases
- Using RAG (Retrieval-Augmented Generation) in Testing
- Practical Lab: Testing a Chatbot with AI
- u oma Ion using aywng
Automating Single / Multiple prompts from chat GPT
Module 9: Advanced Prompt Engineering in QA
- Optimizing Test Case Design with AI
- Test Data Generation for Complex Scenarios (Banking, E-commerce, Insurance)
- Test Case Optimization & Prioritization
- API Testing with AI-generated Scripts (Postman, REST Assured)
- Automating Documentation (Strategy, Traceability Matrix, Release Notes)
Module 10: Selenium / Playwright MCP Server
- What is MCP
- How MCP Works
- How MCP helps in Test Automation
- Installation of Selenium MCP
- Generating Selenium Scripts
- Connect LLMs (Claude Al) with automation tools
- Overview Of MCP (Model Context Protocol) Server
- MCP Server Setup & installation
- Automate browsers using:
- Selenium MCP Server
- Playwright MCP Server
- Why Playwright + MCP is Powerful
- Installing Playwright MCP Server
- Nodejs setup , npm install
- MCP config in VS Code
- JSON config creation
- Execute automation directly from VS Code
Module 11: Building a Custom GPT QA Agent
- What is Custom GPT
- Usage of custom GPT
- Building End to End QA-Agent[manual & automation]
- Setting up GPT Builder
- Configuring:
- Name, Description, Profile
- Instructions (system prompt)
- Capabilities (file upload, code interpreter)
- Adding knowledge base (QA templates)
Module 12: Al-Powered Testing using GitHub Copilot
- What is GitHub Copilot?
- Feature of GitHub Copilot
- How Copilot helps testers (Code suggestions, test data generation, script
optimization) - Installing GitHub Copilot
- Auto-generating test scripts
- Using Open Chat option
- Fixing Error using copilot
- Writing Selenium code in easy and faster
Module 13: n8n workflow automation
- What is n8n overview
- Key features (workflows, triggers, nodes, integrations)
- Creating AI Agents
- Effective prompt pattems
- Steps to use Open Al / Gemini / Claude
- Execution & monitoring logs
- Building workflow execution for
- Basic Bot
- Work flow for manual testing
- Work flow for automation testing
- End to End work flow for Software Testing
Related Courses
Full-Stack Testing with Gen AI & Agentic AI
- 3 Months
- Completion Certificate
- Offline/Online Training/Hybrid Training
Playwright with AI-Testing
- 45 Days
- Completion Certificate
- Offline/Online Training/Hybrid Training
Frequently asked questions
Q1. What is Full-StackTesting?
Full Stack Testing refers to using AI tools and techniques to enhance manual and automation testing. It also includes evaluating AI-based applications and improving testing workflows using Generative AI and Agentic AI.
Q2. Who is this training program for?
This course is perfect for freshers, manual testers, automation testers, and QA professionals who want full-stack testing knowledge along with AI-powered capabilities.
Q3. What topics are covered in this training program?
The program covers manual testing, SDLC, Agile, Core Java, Selenium automation, API testing with Postman and Rest Assured, GenAI test case generation, prompt engineering, and Agentic AI for self-healing automation.
Q4. Is there any course syllabus available?
Yes, the complete syllabus is available and includes manual testing, Selenium, Core Java, API testing, and AI-driven testing modules.
Q5. What is the duration of the training program?
The training typically runs for 10 to 12 weeks including project work.
Q6. What is the format of the training?
The course is delivered via online classes, live demos, hands-on assignments, and guided testing practice.
Q7. Are there any prerequisites for enrolling in the program?
No specific prerequisites. Basic computer knowledge is enough to begin.
Q8. How will this training program help me in my career?
You gain end-to-end manual + automation + AI testing skills, making you job-ready for roles like Full-Stack QA Engineer, Automation Tester, AI-Assisted QA Specialist, and Test Analyst.
Q9. Do you offer placement assistance?Yes, placement support is provided with mock interviews and job connections.
Q10. What if I miss a session?
Recorded sessions or in-person backup classes can be arranged on request.
Q11. Are there any hands-on projects included in the training?
Yes, multiple full-stack testing projects with manual, automation, API, and AI-based tasks are included.
Q12. Can I access the course materials after the training is completed?
Yes, lifetime access is provided for all materials.
Q13. Do you provide any job assistance after the course?
Yes, resume building, mock interviews, and job referrals are included.
