TTAI2140: Implementing AI in Software Testing | AI in Test Automation
About this Course
Learn how artificial intelligence is revolutionizing the software testing process and discover its value in enhancing the efficiency and accuracy of your projects. Smarter Software Testing with AI: Harness the Power of AI in Your Testing Workflow is a two-day, comprehensive course that delves into a broad spectrum of topics. This program includes an in-depth introduction to AI in software testing, advanced AI-powered testing tools, test data generation using AI, refined test case selection techniques, predictive defect identification, and sophisticated test automation strategies. You’ll gain hands-on experience with innovative tools such as PyTest, PyUnit, BeHave Framework and LambdaTest.com through engaging labs designed to deepen your understanding and enhance your skills.
Throughout the course, you’ll explore the multifaceted advantages of AI-powered testing, discovering how AI-driven techniques can not only improve test data generation and test case selection but also offer predictive insights into potential defects. This enables a proactive approach to software quality assurance, streamlining your testing process and ensuring the delivery of superior products. You’ll engage in practical, hands-on labs, working with cutting-edge tools and the latest AI trends like OpenAI, ChatGPT, and AutoGPT, ensuring you’re at the forefront of technological advancements in software testing.
By the end of this immersive course, you’ll possess a comprehensive understanding of AI’s transformative role in software testing, its numerous benefits, and its wide-ranging practical applications. Equipped with this knowledge and hands-on experience, you’ll be prepared to confidently integrate AI-powered tools and techniques into your software testing workflow, significantly enhancing the quality, efficiency, and innovation of your projects.
Audience Profile
This intermediate-level course is great for experienced software testers, QA analysts, test automation engineers, and developers seeking to expand their skill set by incorporating AI-driven testing techniques. Project managers and team leads looking to improve their team's testing efficiency and effectiveness will also benefit from attending.
Attendees should be comfortable with Python or Java scripting basics for some of the hands-on labs. Non-developers are welcome to follow along with the labs or cut and paste. You should also have some familiarity with the concept of applying AI in business applications. This course does not cover AI essentials.
At Course Completion
Working in an interactive learning environment, led by our engaging OpenAI expert you’ll:
• Understand AI's Role in Testing: You will develop a strong foundation in the basics of AI in software testing, including familiarity with leading AI-powered tools, to leverage AI for enhancing test efficiency and effectiveness.
• Generate Superior Test Data with AI: You will master the art of using AI to create comprehensive and varied test data sets, ensuring your testing is thorough and your software's performance is robust.
• Refine Testing with AI Insights: You will learn to use AI for smart test case selection and defect prediction, focusing your testing efforts where they are most needed and preemptively addressing issues to improve software quality.
• Automate Tests Efficiently with AI: You will acquire skills to integrate AI with test automation, boosting your testing speed and reducing manual effort, by understanding and applying AI in continuous testing and integration.
• Boost Performance & Security with AI: You will explore how AI can be instrumental in enhancing your software's performance and security, learning to identify and rectify potential vulnerabilities and performance issues effectively.
• Embrace Cutting-Edge AI Tools & Trends: You will stay ahead of the curve by understanding and applying the latest AI tools and trends in your testing processes, ensuring you're equipped to innovate and lead in AI-driven testing scenarios.
Outline
Day 1
1. Introduction to AI in Software Testing
Understand the basics and significance of 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: Getting familiar with the AI Testing Environment
2. Test Data Generation using AI
Learn to create realistic and diverse test datasets 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 and Analyzing Test Data using AI
3. Advanced Test Case Selection using AI
Dive deeper into the selection of test cases using AI to optimize testing efforts.
• Detailed Study of Test Case Selection
• Advanced Techniques for Test Case Selection using AI
• Integrating AI with Existing Test Suites
• Case Studies of AI in Test Case Selection
• Lab: Selecting and Prioritizing Test Cases using AI
4. AI-Powered Test Execution and Monitoring
Understand how AI can automate test execution and provide real-time monitoring.
• Introduction to AI in Test Execution
• Real-time Test Monitoring with AI
• AI in Test Result Analysis and Reporting
• Lab: Executing and Monitoring Tests using AI
Day Two
5. Defect Prediction using AI
Master the techniques to predict defects using AI, enhancing software quality.
• Deep Dive into Defect Prediction
• Techniques for Defect Prediction using AI
• Preventive Measures Based on AI Predictions
• Lab: Predicting and Analyzing Defects using AI
6. Test Automation using AI
Learn advanced test automation techniques powered by AI to streamline your testing process.
• Advanced Techniques for Test Automation using AI
• Integrating AI with Existing Automation Frameworks
• AI in Continuous Testing and Integration
• Lab: Implementing an AI-Driven Automation Test Suite
7. AI in Performance and Security Testing
Explore how AI can enhance performance and security testing.
• AI in Performance Testing: Techniques and Tools
• AI in Security Testing: Identifying Vulnerabilities
• Case Studies: AI-Driven Performance and Security Improvements
• Lab: Utilizing AI for Performance and Security Testing
8. Applying the Latest Tools & Trends
Get hands-on with the latest AI tools and trends to innovate your testing process.
• Applying the latest AI tools & trends to your testing efforts
• Exploring the capabilities of OpenAI, ChatGPT, AutoGPT, etc.
• Real-world applications and case studies of cutting-edge AI tools in software testing
• Lab: Implementing a Sample Test with the Latest AI Tools (Open AI, ChatGPT, etc).
Prerequisites
In order to gain the most value from this course you should possess the following incoming skills
• Basic understanding of software testing concepts and the software development lifecycle (SDLC):
• Familiarity with basic Python or Java basics (for the scripting part of the labs)
• Basic understanding of Artificial Intelligence applications in business
Take Before:
• TTPS4800 Introduction to Python Programming Basics
• TTML5501 Implementing AI for Business Professionals