Software Testing & SDET Live Training
Manual testing, API testing, Selenium automation and real project workflows.
Engineer maintainable test systems across UI, API, data, CI/CD, reliability, and quality feedback.
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Explore instructor-led programs across active career areas, with related jobs and career paths available as optional context.
Manual testing, API testing, Selenium automation and real project workflows.
Security, risk, compliance, cloud controls and responsible-AI governance skills.
Requirements, Agile, Jira, SQL, UAT and AI-assisted business analysis workflows.
An SDET combines software engineering and quality engineering to build maintainable automated test systems, test utilities, service-level checks, CI/CD feedback, and reliability tooling.
Percentages show how often each skill appears across relevant current opportunities for this career.
Write maintainable Python or another team language.
Automate browser workflows with Playwright or Selenium.
Validate services directly, including negative and contract scenarios.
Check backend state and business transactions.
Build reusable fixtures, abstractions, configuration, and reporting.
Run reliable tests automatically and publish actionable evidence.
Reduce flaky tests, isolate failures, and improve feedback quality.
Finding quizzes that match this career path...
Programming and test utilities.
Browser automation.
Test framework, fixtures, parameterization, and reporting.
Service-level automation.
Backend validation.
Continuous test execution.
Repeatable test environments and services.
Choose stable, repeatable, risk-relevant scenarios.
Define layers, fixtures, data, configuration, logging, and reporting.
Implement UI, API, and backend validation.
Investigate failures, timing, data, environments, and test isolation.
Run in CI/CD and make failures actionable to the team.
Strengthen code, OOP, data structures, debugging, and testing principles.
Automate browser workflows with robust locators and synchronization.
Validate business flows beneath the UI.
Design architecture, fixtures, reporting, retries, isolation, and test data.
Run suites automatically and publish evidence.
A team has slow manual regression and unstable browser scripts with weak failure diagnostics.
Build a layered, maintainable automation system with CI/CD evidence.
Build a versioned automation solution that validates a sample application across browser, API, and database layers and runs in CI/CD.
Framework structure, configuration, fixtures, utilities, tests, and documentation.
Critical browser workflows with reliable synchronization.
Authentication, CRUD, negative, and business-rule scenarios.
Queries confirming backend transactions.
Automated execution with reports, logs, screenshots, and artifacts.
Shows software-design capability.
Shows multi-layer quality engineering.
Shows delivery integration.
Shows reliability thinking.
Explain layers, fixtures, data, config, logging, reporting, and CI/CD.
Discuss synchronization, isolation, deterministic data, environment health, and root-cause analysis.
Explain feedback speed, confidence, business risk, and maintainability.