ISTQB Advanced Test Automation Engineer - 2025

Continuously improve your test automation through data collection and analysis. Adapt the test square as the system under test changes, and explore opportunities to leverage automation beyond traditional testing.

Explore how test automation leverages local, build, integration, pre-production, and production environments to verify software with UI, API, and component tests, plus monitoring and canary or blue-green deployments.

Analyze the system under test to determine the appropriate test automation solution by evaluating requirements, risks, feasibility, and SUT compatibility with stakeholders.

Present the technical findings of a tool evaluation through a comparison table, assessing language compatibility, configuration, test data management, test types, reporting, and CI/CD integration for stakeholders.

Explore how to design for testability with observability, controllability, and architecture transparency, and learn where white box testing fits in local development environments.

Uncover the architecture of test automation, including a generic framework and layered design. Compare capture playback, data driven, and behavior driven approaches, and learn scalable design patterns.

Explore the generic test automation architecture and its interfaces, covering sut, project management, test management, and configuration management, and apply core capabilities like test generation with model-based testing.

Define a test automation solution (Tas) by aligning functional, non-functional, and technical requirements with a mix of commercial and open-source tools, plus custom components and Jira and Testrail integrations.

Master layering of test automation frameworks by organizing code into test scripts, business logic, and core libraries to improve maintainability, reusability, and scalability.

Apply capture playback, linear scripting, structured scripting, TDD, data driven testing, keyword driven testing, and BDD to automate test cases. Learn when to mix approaches for maintainable, scalable test suites.

Apply design principles and design patterns in test automation by using encapsulation, abstraction, inheritance, and polymorphism to build maintainable page objects and flexible tests.

Apply solid principles in test automation by following the single responsibility, open-closed, Liskov substitution, interface segregation, and dependency inversion principles.

Explore how design patterns in test automation solve common challenges, including the fact pattern, singleton, page object model, and flow model, to create maintainable, scalable test suites.

Discover how test adaptation connects automation frameworks to the system under test using adapters for APIs and services, and explore core libraries and keyword driven testing.

Explore test automation architecture and patterns, including page object model, from capture playback to data driven and keyword driven approaches, and learn pilot project setup, deployment, risk mitigation, and maintainability.

Establish a well-planned test automation pilot by setting guidelines, selecting languages and tools, choosing test levels and cases, and integrating with CI/CD to evaluate approaches and outcomes.

Identify deployment risks for test automation and plan mitigation across interfacing, packaging, and logging, then assess likelihood and impact with a risk matrix and monitor updates and resources.

Discover how to validate test automation feasibility with a pilot by prototyping multiple approaches and running representative tests, while also improving maintainability with page object model and data driven testing.

Explore implementation and deployment strategies for test automation, focusing on CI/CD integration, configuration management for test wear, and API infrastructure dependencies with contract testing best practices.

Apply test automation at multiple test levels in ci/cd pipelines, from configuration and component tests to system and integration tests, using unattended execution and quality gates.

Explore configuration management for testware, covering environment configurations, test data, and test suites, plus releases aligned with the sut version and feature toggles.

Compare deploying tests as a quality gate in deployment versus a post deployment pipeline, and recognize system tests as the final gate before production, with contract testing catching defects early.

Discover how to collect and analyze test automation data from logs and production monitoring, and create dashboards that reveal insights with artificial intelligence and machine learning for log analysis.

Capture data from SUT, TAS logs, build logs, deployment logs, production logs, and visual records to understand test behavior and identify root causes for better reliability.

Construct and publish concise test progress reports that summarize test results, failures, and troubleshooting, plus system under test and environment details for stakeholders.

Learn to collect multi-source logs including web server, database, API, and browser for comprehensive test failure analysis. Use historical results and correlation IDs to conduct root-cause investigations across CI/CD pipelines.

Plan and verify your test automation environment, ensure automated scripts behave correctly, and use static analysis to improve automation code quality, turning data into actionable reports for stakeholders.

Verify your test automation environment before testing by validating tool installation, configuration, and connectivity to all interfaces. Ensure repeatable setup and teardown across ci/cd pipelines with health checks and documentation.

verify the correct behavior of automated test scripts and suites by checking composition, new feature verification, repeatability, and intrusiveness to ensure reliable software quality.

Learn how static analysis enhances test automation by inspecting code without execution, identifying defects and security risks. Prioritize defects by severity and integrate with CI/CD pipelines for safer, faster tests.

Learn to verify a test automation environment after infrastructure updates by validating installation, configuration, connectivity, and repeatable setup. Discuss test script reliability, static analysis, and root-cause strategies for intermittent failures.

Leverage data collection and analysis to improve test cases with test histograms, AI-powered self-healing, and schema validation for API and UI testing.

Analyze the technical aspects of a deployed test automation solution and prescribe continuous improvements across scripting, failure recovery, parallel execution, verification, setup, and documentation.

Restructure the automated testware to align with system under test updates, using an incremental mindset to consolidate functions, evolve architecture, and focus on high-value tests.

Explore opportunities to use test automation tools beyond testing, automating environment setup, data aging, automation scripts, and screenshot or video generation to save time and improve consistency.

Explore continuous improvement in test automation through AI-powered self-healing of UI locators, structured scripting with reusable libraries, API testing integration, data automation, and schema validation for reliable, maintainable tests.