Course Outline

Introduction to QA Test Automation for Government

  • Overview of QA automation and its significance in software development for government.
  • Introduction to Cypress: features, advantages, and limitations.
  • Discussion on the relevance of AI in modern QA practices for government.

Fundamentals of Cypress/Selenium for Government

  • Setting up the Cypress environment for government systems.
  • Writing basic automation scripts for web applications used in government operations.
  • Executing test cases and analyzing results for government software.

Advanced Automation Techniques for Government

  • Implementing the page object model (POM) for better maintenance of government applications.
  • Addressing test flakiness: usage of intercept and wait for API calls in government systems.
  • Conducting API testing for government services.
  • Managing test data and fixtures for government applications.

Introduction to AI Integration in Testing for Government

  • Understanding the role of AI in test automation for government software.
  • Overview of ChatGPT and its capabilities in QA for government.
  • Discussing potential applications of AI in writing test scripts and defining test scenarios for government systems.

Practical Exercise for Government

  • Participants work on a hands-on exercise integrating ChatGPT with Cypress to generate test scripts based on given government scenarios.
  • Discussion and Q&A session, wrap up for the day.

Implementing AI in Test Automation for Government

  • Practical demonstration of using ChatGPT to assist in writing automation code for government applications.
  • Exploring how AI can aid in identifying test scenarios and generating test data for government systems.
  • Integrating AI-powered tools with Cypress frameworks for government use.

Enhancing Test Coverage with AI for Government

  • Leveraging AI algorithms for intelligent test case prioritization in government software.
  • Utilizing AI and exploratory testing techniques for government applications.
  • Automating visual testing using AI-powered tools for government systems.

Case Studies and Best Practices for Government

  • Presenting real-world case studies showcasing the effectiveness of AI in QA for government.
  • Sharing best practices for integrating AI into existing testing workflows for government agencies.
  • Addressing challenges and limitations of AI in test automation for government.

Conclusion for Government

  • Final discussion: will AI take my job in the government sector?
  • Closing remarks, feedback collection, final wrap up for government participants.

Requirements

  1. A foundational understanding of software testing concepts.
  2. Familiarity with at least one programming language (preferably Java, JavaScript, or TypeScript; a basic knowledge of any programming language is also acceptable).
  3. Basic proficiency in using Git for version control.
  4. A stable internet connection and a quiet environment to ensure focused work for government tasks.
 14 Hours

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