ISTQB Test Automation Engineer (CT-TAE V2.0) : Full Course

Explore the purpose of test automation and its impact on the software development life cycle, including automated execution, reporting, and the SDLC models like waterfall, V-model, and agile.

Analyze chapter one exam structure on introduction and objectives for test automation, with questions and explanations that cover disadvantages, limitations, V-model, waterfall, and tool cost considerations.

Prepare for test automation by configuring the infrastructure for testability and evaluating tools and strategies across local, build, integration, pre-production, and production environments.

Explore chapter two exam structure for test automation, featuring five questions across K2 and K4 levels, with explanations on testability, design for testability, ui identifiers, and ci/cd integration.

Explore the fundamentals of test automation architecture, including the generic test automation architecture (GTAA), layering, and approaches such as data-driven, keyword-driven, and BDD, with design patterns like POM.

Understand the chapter three ISTQB exam structure, six questions (two k2 and four k3), and key topics such as gTAA, test management, version control, core libraries, and page object model.

Implement test automation by piloting and deploying a TAS, assessing risks, and applying maintainable code practices such as SOLID, DRY, YAGNI, and structured logging.

Learn the exam structure for chapter four on implementing test automation, with four questions covering CI/CD integration, firewall considerations, test structuring, parameter management, and resource capacity in a pilot project.

Explore how to implement test automation across pipelines and at multiple test levels, manage testware configurations, and handle API infrastructure dependencies through contract testing.

Explore chapter five exam structure for implementation and deployment strategies in test automation, including questions on configuration tests, component tests, system tests in ci/cd pipeline, and api contract testing.

Use data collection techniques from sut logs, tas logs, and other sources to analyze test results and gather metrics. Publish progress report featuring trend analysis, visualization, and dashboards for stakeholders.

Explore chapter six exam structure and questions on test automation reporting and metrics, including logging before, during, and after test execution, trend analysis, AI log analysis, and audience-specific reports.

Explore the chapter seven exam structure, six questions worth eight points (four K2 and two K3) on verifying the test automation infrastructure, including central repository scripts and connectivity checks.

Explore continuous improvement opportunities in test automation through data collecting and analysis to identify and refine fragile test cases, AI-assisted generation, and schema validation, while adapting TAS to SUT changes.

The chapter eight exam structure includes six questions worth 13 points. It covers schema validation, keyword driven scripting, dynamic waiting by polling, framework updates, and data aging.

Explore real-world test automation scenarios, from API testing for system integration and data handling to keyword and data driven scripting, recovery scripts, and maintenance considerations.