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Software Testing Foundations: Integrating AI into the Quality Process

Software Testing Foundations: Integrating AI into the Quality Process

41mIntermediate2024-10-04

Authors

Mike Fine

Mike Fine

Founder, Director, and Senior Test Manager at Centercode

Course details

In this course, instructor Mike Fine highlights the potential of integrating AI into quality testing, all the while ensuring a human-centered approach to product evaluation. Get an introduction to the prerequisites for leveraging AI in testing, the potential pitfalls and the importance of maintaining a balance between AI capabilities and the indispensable human factor, and how to get started creating test plans and strategies using AI as a foundational tool. Along the way, Mike shows you how to prepare for manual and automated testing enhanced by AI optimizations, as well as how to master the art of executing test cases, suites, and management leveraging AI-powered tools. By the end of this course, you’ll also be prepared to explore AI to manage testing data and balance AI tools. Ideal for quality assurance professionals, software testers, and anyone looking to harness AI to improve product quality, this course is designed to help you keep your skills at the forefront of technological advancements.

Skills covered

Artificial Intelligence for DesignSoftware TestingProduct and Industrial DesignAI Productivity ToolsVideoPhotographyFoundationsGraphic DesignProduct and ManufacturingAnimation and IllustrationBusiness Software and ToolsSoftware Development

Concepts

0. Introduction

  • 01 - Integrating AI into the quality process
  • 02 - What you should know

1. AI and Quality Testing

  • 03 - The AI disclaimer
  • 04 - The human factor

2. Test Prep and AI

  • 05 - Requirements, plans, and strategy
  • 06 - Prepping manual and automated testing
  • 07 - System design

3. Test Execution and AI

  • 08 - Cases, suites, and management
  • 09 - User testing and deployment
  • 10 - Results management

4. AI and the Process

  • 11 - Using AI in your process
  • 12 - Evaluation and updates
  • 13 - To AI or not to AI

Conclusion

  • 14 - Next steps in integrating AI in your quality process

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