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Implementing AI in Software Testing | AI in Test Automation
Description
Implementing AI in Software Testing Introduction
Welcome to ‘Implementing AI in Software Testing | AI in Test Automation’, a course that covers a wide range of topics, including AI in software testing, AI-powered testing tools, test data generation using AI, test case selection, defect prediction, and test automation.
Discover how artificial intelligence is revolutionizing the software testing process in our intensive 1-day training. Gain practical experience with innovative tools like Selenium, Katalon Studio, Testim, TestProject, and Applitools.
Explore the advantages of AI-powered testing, learning how AI techniques can improve test data generation, test case selection, and defect prediction. Streamline your software testing process and ensure the delivery of high-quality products with AI’s efficiency.
Implementing AI in Software Testing Objectives
- Develop a foundation in AI and its application in software testing for efficient and effective testing.
- Hands-on experience with AI-driven testing tools like Selenium, Katalon Studio, Testim, TestProject, and Applitools.
- Create realistic test data sets using AI in test data generation for comprehensive testing coverage.
- Identify relevant test cases using AI in test case selection.
- Leverage AI for defect prediction in software, addressing issues proactively.
- Implement AI-driven test automation to increase efficiency in your testing workflow.
Prerequisites
- Understanding of software testing concepts and the software development lifecycle (SDLC).
- Familiarity with Python or Java for scripting in labs.
- Basic knowledge of Artificial Intelligence applications in business.
Audience
- Ideal for software testers, QA analysts, test automation engineers, developers, and managers looking to incorporate AI-driven testing techniques.
- Basic Python or Java scripting knowledge is helpful for hands-on labs.
Implementing AI in Software Testing Outline
Introduction to Implementing AI in Software Testing
- What is AI in Software Testing?
- Overview of AI-powered Testing Tools
- Advantages of AI-powered Testing
- Common Use Cases of AI in Software Testing
- Lab: Installing and Configuring an AI-powered Testing Tool
Test Data Generation using AI
- Overview of Test Data Generation
- Use of AI in Test Data Generation
- Techniques for Test Data Generation using AI
- Advantages of AI in Test Data Generation
- Lab: Generating Test Data using AI; using Testim, TestProject, Applitools
Test Case Selection using AI
- Overview of Test Case Selection
- Use of AI in Test Case Selection
- Techniques for Test Case Selection using AI
- Advantages of AI in Test Case Selection
- Lab: Learn how to select test cases using AI-powered tools; using Testim, TestProject, Applitools
Defect Prediction using AI
- Overview of Defect Prediction
- Use of AI in Defect Prediction
- Techniques for Defect Prediction using AI
- Advantages of AI in Defect Prediction
- Lab: Predicting Defects using AI; using Testim, TestProject, Applitools
Test Automation using AI
- Overview of Test Automation
- Use of AI in Test Automation
- Techniques for Test Automation using AI
- Advantages of AI in Test Automation
- Lab: Automating Tests using AI; possibly using Selenium, Katalon Studio, Testim, TestProject, Applitools
Bonus Content: Applying the Latest Tools & Trends
- Applying the latest AI tools & trends to your testing efforts (OpenAI, ChatGPT, AutoGPT, etc.)
$1995.00
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2 Days Course |