Generative AI for QA Professionals and Software Testers

Overview

Unlock the potential of AI in QA with our comprehensive course, "GenAI for QA and Software Testers." This program bridges the gap between AI theory and practical applications, equipping you with the skills to leverage Generative AI for automating and enhancing QA workflows.

Syllabus

• Introduction to Generative AI in QA
Overview of AI and its relevance to QA
Key concepts in Generative AI
Differentiating traditional AI from Generative AI
• Fundamentals of Generative AI
Introduction to machine learning and deep learning
Understanding neural networks and model training
Common Generative AI models: GPT, Variational Autoencoders (VAEs), GANs
• Applications of Generative AI in QA
Generating test data: Techniques and tools
Automating test case generation
Enhancing test coverage with AI-generated scenarios
• Implementing AI Tools in QA Workflows
Integration of AI tools in existing testing frameworks
Case studies of AI in QA automation
Evaluating and selecting AI tools for specific testing needs
• Practical Labs and Exercises
Hands-on lab: Building a simple Generative AI model
Exercise: Generating and validating synthetic test data
Workshop: Designing an AI-enhanced testing workflow
• Best Practices and Ethical Considerations
Ensuring data privacy and compliance in AI applications
Addressing biases in Generative AI models
Keeping up with the evolving landscape of AI in QA
• Advanced Topics and Future Trends in AI for QA
Exploring current research and innovations in Generative AI
Predictive testing and risk-based testing with AI
The future of autonomous testing environments
• Conclusion and Course Wrap-Up
Recap of key learnings
Q&A session
Resources for continued learning and development

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Taught by

Raghu The Security Expert

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Subjects

Programming