Faster testing with generative AI

1. Introduction to generative AI in testing:
   • Basics of generative AI and its possible applications in software testing.
   • Advantages of AI-supported test procedures compared to classic methods.
     
     
2. Automated test case generation:
   • Tools and frameworks for test case generation.
   • Improving test coverage and optimizing test design.
     
     
3. Fault detection with AI:
   • Use of machine learning models to identify and eliminate errors.
   • Test analysis in real time using AI.
     
     
4. Test processes and quality assurance:
   • Integration of AI into agile and classic test strategies.
   • Ensuring software quality through AI-based test scenarios.
     
     
5. Practical examples and tools:
   • Presentation of leading tools such as ChatGPT and CoPilot in testing.
   • Live demonstrations of AI-supported test applications.

After completing the seminar, participants receive a certificate of attendance that confirms their knowledge in the field of AI-supported testing. This certificate can be used as proof of further training in future-oriented technologies.

• Learn practical strategies for AI-supported test automation.
• Reduction of test effort while simultaneously improving quality.
• Use of innovative tools and methods to increase efficiency.
• Competitive advantages through modernized test approaches.

• Prerequisites: Basic knowledge of software testing is helpful, but not required.
• Certificate: Certificate of attendance included.

The seminar is aimed at:

• Software testers, test managers and QA experts.
• Developers and project managers in the field of software development.
• Managers who want to modernize their test strategies.
• IT specialists who want to integrate AI solutions into their work processes.