Quality Boost Through AI-Powered Testing

This course focuses on how AI enhances software testing by automating test case generation, detecting anomalies, and predicting defects. Participants will explore tools like Testim and Applitools and learn how to apply AI to optimize unit, integration, and regression testing. The course also covers techniques for integrating AI into existing testing pipelines to ensure seamless operation and improved coverage.

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📚 Course content

This course provides a comprehensive insight into how AI is transforming software testing processes. Participants will explore how AI-powered tools improve testing efficiency by automating test case generation, detecting anomalies, and predicting defects. The course covers practical applications of tools like Testim and Applitools to optimize unit, integration, and regression testing. Participants will also learn techniques for integrating AI into existing testing pipelines to ensure smoother workflows, better test coverage, and faster detection of issues. Ideal for QA engineers, software developers, and testers who want to leverage AI to enhance software quality and reliability. You will learn:

  • Automated test case generation: Understanding how AI tools create comprehensive test cases faster, reducing manual effort and increasing test coverage.
  • Anomaly detection: Exploring how AI detects unexpected behaviors and flags potential issues before they become critical defects.
  • Defect prediction: Learning how AI predicts potential bugs based on historical data to prevent issues earlier in the development lifecycle.
  • AI tools for testing: Hands-on experience with tools like Testim and Applitools to optimize unit, integration, and regression testing.
  • Integrating AI into testing pipelines: Practical techniques for incorporating AI-powered tools into existing workflows to improve efficiency and ensure seamless operation.
  • Real-world case studies: Discovering how leading companies have used AI in testing to boost software quality, reduce bugs, and streamline QA processes.

📖 Chapters in this course