Overview
From Basics to Brilliance: Transform Your Testing Approach with Generative AI for Unmatched Precision and Performance
Syllabus
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- Introduction to Functional Testing
-- Overview of Functional Testing: Concepts and Importance
-- Traditional vs. AI-Powered Functional Testing
- Fundamentals of Generative AI
-- Understanding Generative AI: Definition and Applications
-- Key Generative AI Technologies: Models and Tools
- Integrating AI in Functional Testing
-- AI-Driven Test Case Design
-- Enhancing Test Coverage with AI
-- Automated Test Execution Using AI
- AI-Powered Testing Tools and Frameworks
-- Overview of Popular AI Testing Tools
-- Comparison of Traditional vs. Generative AI Testing Tools
-- Case Studies on Generative AI in Testing
- Developing Test Strategies with AI
-- Identifying Suitable Testing Scenarios for AI Integration
-- Designing Test Strategies Incorporating Generative AI
-- Risk and Benefit Analysis of AI in Testing
- Practical Implementation and Challenges
-- Hands-on Workshop: Developing AI-Driven Test Scenarios
-- Overcoming Common Challenges in AI-Driven Functional Testing
-- Ethical Considerations in AI Testing
- Evaluating and Improving AI Test Processes
-- Metrics for Evaluating AI-Driven Test Effectiveness
-- Continuous Improvement Through Feedback Loops
-- Leveraging AI for Regression and Performance Testing
- Future Trends and Innovations in AI Testing
-- Emerging Trends in Generative AI for Functional Testing
-- The Role of AI in the Future of Software Testing
- Course Conclusion
-- Recap of Key Learnings
-- Future Learning Pathways in AI-Driven Testing
-- Final Q&A Session and Feedback Collection
Taught by
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On-Demand
