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 Duration 14 hours

Course Outline

Introduction to QA Test Automation

  • Overview of QA automation and its critical role in software development.
  • Introduction to Cypress: key features, advantages, and limitations.
  • Discussion on the relevance of AI in contemporary QA practices.

Cypress/Selenium Fundamentals

  • Configuring the Cypress development environment.
  • Creating basic automation scripts for web applications.
  • Running test cases and interpreting results.

Advanced Automation Techniques

  • Implementing the Page Object Model (POM) to improve maintainability.
  • Mitigating test flakiness through interceptors and API call waiting mechanisms.
  • API Testing methodologies.
  • Managing test data and fixtures.

Integrating AI into Testing

  • Understanding the role of AI in the test automation lifecycle.
  • Overview of ChatGPT and its utility in QA.
  • Exploring AI applications in script generation and test scenario definition.

Practical Exercise

  • Hands-on exercise integrating ChatGPT with Cypress to generate test scripts from specific scenarios.
  • Group discussion, Q&A session, and daily wrap-up.

Implementing AI in Test Automation

  • Demonstration of using ChatGPT to assist in writing automation code.
  • Investigating how AI supports test scenario identification and test data generation.
  • Integrating AI-powered tools within Cypress frameworks.

Enhancing Test Coverage with AI

  • Leveraging AI algorithms for intelligent test case prioritization.
  • The intersection of AI and exploratory testing.
  • Automating visual testing with AI-driven tools.

Case Studies and Best Practices

  • Presentation of real-world case studies demonstrating AI effectiveness in QA.
  • Best practices for embedding AI into existing testing workflows.
  • Addressing the challenges and limitations of AI in test automation.

Conclusion

  • Final discussion: The future of AI in the testing profession.
  • Closing remarks, feedback collection, and course conclusion.

Requirements

  1. A foundational understanding of software testing principles.
  2. Familiarity with at least one programming language (preferably Java, JavaScript, or TypeScript), including basic language fundamentals.
  3. Basic proficiency with Git.
  4. A stable internet connection and a quiet, distraction-free environment for focused learning.

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