Generative AI for Software Testers

About the program

Introducing our fourth exclusive workshop: “Generative AI For Testers.” Designed for professionals at all levels, this intensive two-day program offers a comprehensive exploration of Generative AI and its profound implications within the testing domain. Join us as we unravel the mysteries and unlock the transformative potential of this cutting-edge technology.

Workshop Duration – 8 Hours

Total Days – 2

Date & Time– 2nd August 2024 (7:00 pm – 10:00 pm) and 3rd August 2024 (5:00 pm – 10:00 pm)

Trainer: Dhiren Shah

Target Audience: Software testers of all levels, with basic hands-on experience in automation and coding preferred.

Module 1: Introduction to Generative AI (2 hours)

• What is Generative AI? Differentiating it from other AI types.
• Key Concepts: Deep learning, adversarial networks, natural language processing (NLP).
• Real-world applications of Generative AI in various industries.
• Impact of Generative AI on software testing landscape.

Module 2: Generative AI in Software Testing (2 hours)

• Use cases for Generative AI in different testing phases (unit, integration, system).
  
• Automated Test Case Generation:
• Techniques for generating diverse and edge cases.
• Tools and platforms available for automatic test case generation.
• Synthetic Data Generation:
• Strategies for generating realistic and relevant test data.
• Applications in API testing, security testing, and performance testing.
• AI-powered Bug Detection and Reporting:
• Anomaly detection algorithms for identifying potential issues.
• Generative models for describing bugs and suggesting fixes.

Module 3: Hands-on Session (2 hours)

• Participants will work on practical exercises applying generative AI tools for:
  
• Generating basic test cases from user stories or API specifications.
• Creating synthetic data for specific test scenarios.
• Experimenting with anomaly detection models for bug identification.

Module 4: Future of Generative AI in Testing (1 hour)

• Emerging trends and advancements in generative AI for software testing.
  
• Ethical considerations and challenges of using AI in testing.
• Skills and tools software testers need to prepare for the future

Workshop Takeaways:

• Hands-on experience with generative AI tools for software testing.
• In-depth understanding of the potential and limitations of generative AI.
• Strategies for integrating generative AI into existing testing practices.
• Future-proof skillset to adapt to the evolving landscape of software testing.

For more details please visit: https://ataevents.org/generative-ai-workshop/