01 / WEEKEND 1
QA Foundations
Understand SDLC, STLC, Agile and Scrum QA, functional and non-functional testing, smoke testing, sanity testing, regression testing and risk-based testing.
Learn how modern software teams test, validate and improve applications through a practical QA Engineering Bootcamp.
Build hands-on experience in manual testing, API testing, SQL, Playwright automation, performance testing and CI/CD, while learning how modern tools can support your work without replacing your judgement.

Regression suite
test('checkout flow', async () => { await expect(order).toBeVisible();}); ✓ assertion passed5 Weekends | 10 Live Sessions | 20 Hours | Practical Labs | Capstone Project
QA workspace
Checkout / release readiness
From test casesto confident releases
Quality assurance has moved far beyond checking whether a feature works.
Today’s QA engineers need to understand the complete software testing process, from analysing requirements and designing test cases to validating APIs, checking databases, building automated tests and running quality checks through CI/CD pipelines.
This course gives you practical exposure to each stage of that process.
Learn SDLC, STLC, Agile QA, functional testing, regression testing, risk-based testing and professional defect management.
Learn how to validate APIs using Postman and verify application data using SQL.
Turn manual test cases into Playwright automation and learn how maintainable testing frameworks are structured.
Each stage develops a different part of your QA skill set, with practical labs and one continuous project throughout the course.
01 / WEEKEND 1
Understand SDLC, STLC, Agile and Scrum QA, functional and non-functional testing, smoke testing, sanity testing, regression testing and risk-based testing.
02 / WEEKEND 1
Learn test scenarios, test cases, positive and negative testing, boundary value analysis, equivalence partitioning, exploratory testing and professional defect reporting.
03 / WEEKEND 2
Work with REST APIs, HTTP methods, status codes, headers, JSON, authentication, bearer tokens, API chaining and response validation using Postman.
04 / WEEKEND 2
Understand tables, relationships, CRUD operations, primary and foreign keys, data integrity and essential SQL queries for software testing.
05 / WEEKEND 3
Learn locators, assertions, waits, test data, flaky tests and Page Object Model while converting manual test cases into automated tests.
06 / WEEKEND 3
Build better automation using fixtures, hooks, configuration, environment management, reusable utilities, parallel execution and regression suites.
07 / WEEKEND 4
Explore cross-browser testing, responsive testing, accessibility fundamentals, exploratory testing and security testing concepts.
08 / WEEKEND 4
Use JMeter to understand load testing, stress testing, endurance testing, response times, throughput, concurrent users and performance bottlenecks.
09 / WEEKEND 5
Learn Git fundamentals, branches, pull requests, GitHub Actions, automated regression, test reports, environment variables and quality gates.
10 / WEEKEND 5
Bring your work together into a complete QA portfolio with GitHub projects, professional documentation, CV preparation and interview practice.
Modern QA teams are expected to test earlier, automate repetitive checks and understand quality across the entire application.
Knowing manual testing alone is no longer the full picture.
This QA Engineering course is designed for learners who want practical exposure to modern software testing rather than theory alone.
Build practical software testing experience alongside your studies.
Develop job-relevant QA and automation skills through structured practical work.
Progress from manual testing into APIs, databases, automation and CI/CD.
Strengthen your technical testing skills and learn modern QA workflows.
Improve your understanding of testing, automation and software quality.
Build a structured foundation in software testing through guided practical projects.
This is not a course built around slides alone.
Each session combines essential concepts with practical work so you can understand how QA is performed in real software projects.
playwright / checkout.spec
Write. Run. Investigate.
test('validates checkout', async () => { await page.goto('/checkout'); await expect(total).toBeVisible();});✓ Test passed
API response
POST /api/orders 200 OK
{ "status": "confirmed" }
40 min concepts + 80 min hands-on
Approximate split in each 2-hour session
Review requirements, identify missing information and understand testing risks.
Create scenarios, test cases, boundary conditions and regression checklists.
Validate requests, responses, authentication and business flows using Postman.
Use SQL to verify application data and test complete UI-to-API-to-database flows.
Convert manual scenarios into Playwright tests and develop reusable automation components.
Build JMeter tests and learn how to interpret important performance metrics.
Connect automated tests with GitHub Actions and investigate failed test runs.
Bring your testing work together into one portfolio-ready QA project.
The course brings multiple QA disciplines into one structured learning path instead of teaching each skill in isolation.
20Hours
LiveTraining
Instructor-led conceptsand practical labs.
Structured learning from foundations to advanced QA.
Two focused sessions every weekend.
Apply what you learn throughout the complete program.
Finish with practical QA work you can document and present professionally.
One connected testing toolkit.
You will work through realistic software testing activities including requirement analysis, test design, bug reporting, API validation, database checks, automation development, performance testing and pipeline failure analysis.
More importantly, you will learn to review, question and validate your results instead of accepting generated suggestions or automated outputs without verification.
Risk notes · test cases · bug reports
Postman checks · SQL verification
Playwright suite · JMeter results
GitHub Actions runs · failure analysis
A QA Engineering course teaches you how to evaluate software quality using structured testing methods. This program covers manual testing, API testing, database validation, automation, performance testing and CI/CD workflows.
The curriculum begins with QA foundations before progressing into more technical areas such as APIs, SQL, Playwright automation and CI/CD.
Yes. You begin with manual QA concepts and test design before progressing into Playwright test automation and automation framework development.
The curriculum includes practical work with Postman, SQL, Playwright, JMeter, Git, GitHub and GitHub Actions.
Yes. You will learn REST APIs, HTTP methods, status codes, JSON, authentication, API chaining and response validation, followed by practical API testing exercises in Postman.
Yes. The performance testing module covers load testing, stress testing, endurance testing, response time, throughput, concurrent users and JMeter reporting.
Yes. One continuous capstone project runs throughout the program and brings together manual testing, APIs, SQL, automation, performance testing and CI/CD.
Yes. The final session includes portfolio development, professional QA documentation, GitHub profile work, CV preparation and interview preparation.
Build practical experience across the complete QA lifecycle and understand how manual testing, APIs, databases, automation, performance and CI/CD work together in modern software teams.20 Hours of Live Training | Practical Labs | Capstone Project