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Course Outline
Introduction to AI in Software Testing
- An overview of AI capabilities within testing and QA domains.
- Identification of AI tools utilized in contemporary test workflows.
- Assessment of the benefits and potential risks associated with AI-driven quality engineering.
Leveraging LLMs for Test Case Generation
- Applying prompt engineering techniques to generate unit and functional tests.
- Developing parameterized and data-driven test templates.
- Translating user stories and requirements into executable test scripts.
AI Applications in Exploratory and Edge Case Testing
- Using AI to detect untested code branches or conditions.
- Simulating rare or abnormal user scenarios.
- Implementing risk-based test generation strategies.
Automated UI and Regression Testing
- Employing AI tools such as Testim or mabl for UI test creation.
- Ensuring stability in UI tests via self-healing selectors.
- Conducting AI-based regression impact analysis following code modifications.
Failure Analysis and Test Optimization
- Grouping test failures using LLM or ML models.
- Minimizing flaky test executions and reducing alert fatigue.
- Prioritizing test execution schedules based on historical data insights.
Integration with CI/CD Pipelines
- Incorporating AI test generation into Jenkins, GitHub Actions, or GitLab CI.
- Verifying test quality during the pull request review process.
- Implementing automated rollbacks and smart test gating mechanisms within pipelines.
Future Trends and Ethical AI Use in QA
- Assessing the precision and safety of AI-generated tests.
- Establishing governance frameworks and audit trails for AI-enhanced test processes.
- Exploring trends in AI-QA platforms and intelligent observability solutions.
Summary and Recommended Next Steps
Requirements
- Practical experience in software testing, test planning, or QA automation.
- Proficiency with testing frameworks such as JUnit, PyTest, or Selenium.
- Fundamental knowledge of CI/CD pipelines and DevOps environments.
Target Audience
- QA engineers.
- Software Development Engineers in Test (SDETs).
- Software testers operating in agile or DevOps contexts.
14 Hours
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
