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Full stack QA Automation Program

Full Stack QA Automation Program

What You’ll Learn

  • Manual Testing & QA Fundamentals Project
  • Selenium UI Automation Framework Project
  • API & Database Automation Project
  • Performance Testing & CI/CD Pipeline Project
  • Full Stack QA Automation Capstone Project
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Full Stack QA Automation Workflow

Focus: Strong QA fundamentals + complete manual testing lifecycle for a real Login module.

Weeks 1–4

  • Understand SDLC and Agile fundamentals from a QA perspective.

  • Learn requirement analysis using BRD, SRS, and user stories.

  • Design professional test scenarios and test cases for the Login & Authentication module.

  • Prepare realistic test data and build a Requirement Traceability Matrix (RTM).

  • Execute end‑to‑end manual testing for the Login module and report defects using JIRA.

  • Participate in sprint review and QA discussions to explain your test design and decisions.

Outcome: You can independently handle manual testing for a feature and clearly explain your test approach in interviews.

Focus: Convert manual tests into Selenium automation and build your first reusable framework

Weeks 5–8

  • Learn Core Java for Automation and Selenium WebDriver fundamentals.

  • Implement XPath and CSS selectors, web element actions, waits, and assertions.

  • Convert your Login test cases into Selenium automation scripts using TestNG.

  • Refactor code into a Page Object Model (POM) and create reusable utility methods.

  • Add logging, reporting (Extent Reports), and configuration management to your framework.

  • Enhance the framework with data‑driven testing using Excel and JSON.

Outcome: You have a working Selenium framework for Login & Registration modules that you can demo from your own GitHub repository

Focus: Become full stack on backend validation, API automation, database checks, and Playwright.

Weeks 9–12

  • Learn REST API fundamentals, HTTP methods, and status codes.

  • Design API test scenarios from business requirements and execute them in Postman.

  • Build API automation using Rest Assured, JsonPath, authentication, and API chaining.

  • Write SQL queries and validate business data at the database level using JDBC.

  • Cross‑check UI vs Database and API vs Database responses for full data consistency.

  • Modernize your UI automation by adding Playwright for faster, cross‑browser workflows.

Outcome: You can explain how you validated a feature across UI, API, and DB, and show both Selenium and Playwright in one integrated automation framework.

Focus: Performance testing, DevOps integration, and a complete industry‑style automation project.

Weeks 13–16

  • Learn Apache JMeter concepts and design performance scenarios for critical APIs.

  • Execute Load, Stress, and Spike tests and analyse performance reports for bottlenecks.

  • Manage automation code using Git and GitHub, following real branching and pull‑request workflows.

  • Build Jenkins pipelines to run your automation suite as part of CI/CD.

  • Work on an Industry Capstone Project from requirement analysis to production‑ready automation.

  • Develop combined UI, API, Database, and Performance automation for a real business feature.

  • Present your solution in a sprint review, clear technical + HR mock interviews, and finalize your GitHub portfolio and documentation

“By the end of the program, you’ll be a Full Stack QA Automation Engineer with a real end‑to‑end automation project, framework code, CI/CD pipeline, and GitHub portfolio to show in interviews.”

Duration & Mode

  • 4 Months (Sprint-wise, 16 weeks)
  • Mode: 100% Online (Live + Recorded Sessions)
  • Ideal For: Manual Testers and Fresher QAs who want to become QA Automation Engineers
  • Learning Format: Project-based training with capstone portfolio and mock interviews

Communication Is Everything

FAQ - Frequently Asked Questions

Got questions? Here are answers to some common queries about learning with Dataholic. If you need further help, our support team is always ready to assist.

We offer a range of programs in data analytics, data science, machine learning, and mechanical design, catering to beginners and advanced learners.

Yes! All our courses are designed for flexible self-paced learning, so you can study whenever and wherever it suits you.

No prior experience is required. Our courses start with foundational concepts and gradually move to advanced topics.

Course content, including videos, quizzes, and projects, is available on our easy-to-use web platform accessible via desktop or mobile browser.

Absolutely. Our support team is available to help with any technical or course-related queries to ensure a smooth learning experience.

We regularly update courses to include the latest industry developments and best practices.

Yes, a certificate of completion is awarded to students who successfully finish their courses.

Yes, our platform includes forums and Q&A sessions to connect you with instructors and fellow students.

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