The Comprehensive, Full Stack QA Testing program is specifically designed to develop capable testing professionals who possess both manual and automation testing capabilities.
This provides complete coverage of all end-to-end Testing concepts. The course covers manual testing, automation testing (using Selenium in either Java or Python), API testing through Postman, and performance testing with JMeter.
It is geared towards those who are looking for a comprehensive way to learn testing; therefore, it is suitable for fresh graduates, career changers, and those already working in software development but want to expand their knowledge of testing software.
Within this course, you will learn basic concepts such as software development lifecycle (SDLC), Software Testing Life Cycle (STLC), designing test cases, defect management, automation Framework concepts and terminology, API Testing using Postman, and performance testing using JMeter, etc. The course contains real-world projects that are hands-on experience, practical assignments that simulate actual work (to help build your confidence), and demonstrations of live projects, thus giving you real-world experience and confidence in your skills.
You will also gain knowledge of using Git, basic CI/CD integration, Agile methodology and how to work in an Agile environment as well as using SQL to query databases. These skills will help to prepare you for a job in the real-world environment.
Additionally, this course also prepares you for employment through the provision of interview preparation, resume building assistance, preparing for mock interviews, and providing access to job placement assistance after completion of the program.
Enroll in this live online training today and start your journey to becoming a professional full-stack QA Test Engineer!
This provides complete coverage of all end-to-end Testing concepts. The course covers manual testing, automation testing (using Selenium in either Java or Python), API testing through Postman, and performance testing with JMeter.
It is geared towards those who are looking for a comprehensive way to learn testing; therefore, it is suitable for fresh graduates, career changers, and those already working in software development but want to expand their knowledge of testing software.
Within this course, you will learn basic concepts such as software development lifecycle (SDLC), Software Testing Life Cycle (STLC), designing test cases, defect management, automation Framework concepts and terminology, API Testing using Postman, and performance testing using JMeter, etc. The course contains real-world projects that are hands-on experience, practical assignments that simulate actual work (to help build your confidence), and demonstrations of live projects, thus giving you real-world experience and confidence in your skills.
You will also gain knowledge of using Git, basic CI/CD integration, Agile methodology and how to work in an Agile environment as well as using SQL to query databases. These skills will help to prepare you for a job in the real-world environment.
Additionally, this course also prepares you for employment through the provision of interview preparation, resume building assistance, preparing for mock interviews, and providing access to job placement assistance after completion of the program.
Enroll in this live online training today and start your journey to becoming a professional full-stack QA Test Engineer!
- Duration3.5 - 4 months
- Training ModeBoth online / offline available
Fullstack QA Testing Course Syllabus
1. Introduction to Software Testing
- What is Software Testing?
- Why Testing is Important
- Verification vs Validation
- Quality Assurance vs Quality Control
- Software Quality Attributes (Reliability, Usability, Maintainability)
2. SDLC & STLC
- Software Development Life Cycle (SDLC)
- Software Testing Life Cycle (STLC)
- Entry and Exit Criteria
- Test Deliverables
3. Testing Levels
- Unit Testing
- Integration Testing
- System Testing
- Acceptance Testing
- Alpha & Beta Testing
4. Types of Testing
- Functional Testing
- Non-Functional Testing
- Smoke & Sanity Testing
- Regression Testing
- Usability Testing
- Compatibility Testing
- Ad-hoc Testing
5. Test Case Design Techniques
- Black Box Testing
- Equivalence Partitioning
- Boundary Value Analysis (BVA)
- Decision Table Testing
- State Transition Testing
- Error Guessing
6. Test Management
- Test Planning
- Test Strategy
- Test Data Preparation
- Test Execution
- Defect Reporting and Tracking
- Test Metrics (Coverage, Pass/Fail Percentage)
7. Bug / Defect Life Cycle
- What is a Bug?
- Bug Severity & Priority
- Bug Life Cycle
- Bug Tracking Tools (JIRA, Bugzilla, etc.)
8. Agile Testing
- Agile Methodology Basics
- Scrum Framework
- User Stories & Acceptance Criteria
- Agile Tester Responsibilities
9. Manual Testing Real-Time Project Concepts
- Test Scenarios & Test Cases
- Requirement Traceability Matrix (RTM)
- Test Reports
- Peer Review & Walkthroughs
- Best Practices
10. Automation Testing with Selenium and Java
- Java Basics: Variables, Loops, OOP Concepts, Exception Handling
- Selenium Basics: WebDriver, Locators, Browser Actions
- Waits: Implicit, Explicit, Fluent
- TestNG Framework Basics: Annotations, Assertions, Reports
- Page Object Model (POM)
- Data Handling: Excel, Properties, Data-Driven Testing
- Real-Time Project Practices
11. Automation Testing with Selenium and Python
- Python Basics: Variables, Loops, Functions, OOP, Exception Handling
- Selenium WebDriver Essentials
- Locators and WebElement Methods
- Waits: Implicit, Explicit, Fluent
- Pytest Framework: Test Functions, Setup/Teardown, Assertions, Reports
- Page Object Model (POM)
- Data Handling: CSV, Excel, Config Files
- Real-Time Project Practices
12. API Testing with Postman
- Basics of API Testing: REST, SOAP, GraphQL
- HTTP Methods: GET, POST, PUT, PATCH, DELETE
- Postman Interface and Requests
- Collections, Variables, Pre-request Scripts, Tests
- Data-Driven Testing and Automation with Newman
- Real-Time Project Concepts
13. Performance Testing with JMeter
- Performance Testing Basics: Load, Stress, Endurance, Spike, Volume
- JMeter Test Plan, Thread Groups, Samplers, Controllers, Listeners
- Config Elements, Timers, Assertions, Pre/Post Processors
- Parameterization and Correlation
- Running Tests, Analyzing Results, Generating Reports
- Advanced Concepts: Distributed Testing, CI/CD Integration
- Real-Time Project Practices
14. GenAI and Agent AI in QA
- Using GenAI to generate test cases, test scripts, or data
- Agent AI to monitor execution, validate results, and report defects
- AI enhances speed and accuracy but human judgment is essential