Generative AI Training Workshop for V&V Professionals by Tonex
This 2-day workshop is designed to provide Verification and Validation (V&V) professionals with a comprehensive understanding of generative AI and its applications in the V&V process. Through interactive sessions, hands-on exercises, and collaborative discussions, attendees will explore how generative AI can enhance testing, validation, and verification processes, improve efficiency, and ensure software quality. The workshop aims to equip V&V professionals with the skills and knowledge to leverage AI technologies for robust and reliable verification and validation practices.
Learning Objectives:
- Understand Generative AI Concepts: Gain a comprehensive understanding of generative AI technologies and their potential applications in V&V.
- Enhancing V&V Processes with AI: Learn how to use AI tools to enhance verification, validation, and testing processes.
- Improving Efficiency and Quality: Explore AI techniques for improving the efficiency and quality of V&V activities.
- Hands-on Experience with AI Tools: Engage in practical exercises to apply AI tools in V&V scenarios.
- Ethical Considerations and Best Practices: Understand the ethical implications and best practices for using generative AI in V&V.
Audience:
This workshop is ideal for:
- Verification and Validation professionals seeking to integrate AI into their V&V practices.
- Quality assurance professionals responsible for software testing and validation.
- IT professionals and data scientists involved in software quality assurance.
- Project managers and team leaders overseeing V&V processes.
- Any V&V professionals seeking to enhance their understanding of generative AI applications.
Course Outlines:
Day 1:
Module 1: Introduction to Generative AI for V&V
- Overview of generative AI technologies
- Key concepts and terminology
- Importance of AI in modern V&V practices
Module 2: Enhancing V&V Processes with AI
- Techniques for using AI to enhance V&V activities
- Automating test case generation with AI
- AI-driven anomaly detection and bug identification
Module 3: Hands-on Session: AI Tools for V&V
- Introduction to popular AI tools and platforms for V&V
- Practical exercises in using AI tools for testing and validation
- Group activities and collaborative V&V projects
Module 4: Improving Efficiency and Quality with AI
- AI methodologies for optimizing V&V workflows
- Application of machine learning in test planning and execution
- Real-time monitoring and predictive maintenance using AI
Day 2:
Module 5: Advanced Techniques for AI-Enhanced V&V
- AI-driven test data generation and validation
- Using AI for performance testing and load testing
- Integrating AI into continuous integration and continuous deployment (CI/CD) pipelines
Module 6: Ethical Considerations in AI-Driven V&V
- Understanding the ethical implications of using AI in V&V
- Strategies for mitigating biases and ensuring ethical AI practices
- Governance frameworks for responsible AI use in V&V
Module 7: Interactive Q&A Session
- Open floor discussion with AI and V&V experts
- Addressing specific participant questions and scenarios
- Collaborative problem-solving and idea exchange
Module 8: Future Trends in Generative AI for V&V
- Exploring upcoming advancements in AI technologies for V&V
- Preparing for future AI innovations in V&V processes
- Strategic planning for long-term AI integration in V&V workflows
Module 9: Final Project: AI-Driven V&V Plan
- Developing a comprehensive plan for integrating AI in V&V practices
- Group presentations and peer feedback
- Actionable steps for implementing workshop learnings in V&V projects