Applied Generative AI and Software Engineering Workshop by Tonex
This 2-day workshop is designed to provide participants with a comprehensive understanding of how generative AI can be applied to software engineering. Through interactive sessions, hands-on exercises, and collaborative discussions, attendees will explore AI-driven solutions for software design, development, testing, optimization, and maintenance. The workshop aims to equip software engineers and developers with the skills and knowledge to leverage AI technologies for enhanced productivity and innovation in software engineering.
Learning Objectives
- Understand Generative AI in Software Engineering: Gain a comprehensive understanding of generative AI technologies and their applications in software engineering.
- AI-driven Software Design and Development: Learn how to use AI tools for designing, developing, and optimizing software.
- Testing and Debugging: Explore AI techniques for automated testing, debugging, and performance optimization.
- Enhanced Development Practices: Improve software engineering workflows using AI-driven insights and tools.
- Practical Implementation: Engage in hands-on exercises to apply AI tools in real-world software engineering scenarios.
Audience
This workshop is ideal for:
- Software engineers and developers looking to integrate AI into their development practices.
- IT professionals and data scientists involved in software engineering.
- Project managers and team leaders overseeing software development projects.
- Researchers and academics interested in the intersection of AI and software engineering.
- Anyone with a background in software development seeking to enhance their understanding of AI applications.
Program Details
Day 1:
- Introduction to Generative AI and Software Engineering
- Overview of generative AI technologies
- Introduction to software engineering principles and practices
- Synergy between AI and software engineering
- AI-Driven Software Design and Development
- Techniques for AI integration in software design
- Case studies of AI-enhanced software development
- Tools and frameworks for AI-driven software engineering
- Hands-on Session: Generative AI Tools for Software Engineering
- Practical exercises using AI tools for software design and development
- Creating and evaluating AI models for software applications
- Optimizing software performance using AI
- Case Study Analysis: Real-world Applications
- In-depth analysis of successful AI implementations in software engineering
- Discussion of challenges and solutions
- Extracting best practices and lessons learned
Day 2:
- Advanced Techniques for AI-Enhanced Software Testing and Debugging
- AI methodologies for automated testing and error detection
- Application of machine learning in performance optimization
- Real-time monitoring and predictive maintenance using AI
- Lifecycle Management with AI
- Role of AI in the software development lifecycle
- Predictive analytics for lifecycle planning
- AI in maintenance and sustainability of software projects
- Interactive Q&A Session
- Open floor discussion with AI and software engineering experts
- Addressing specific participant questions and scenarios
- Collaborative problem-solving and idea exchange
- Ethical and Responsible AI Use in Software Engineering
- Understanding AI ethics in software engineering contexts
- Strategies for mitigating biases and ensuring ethical AI deployment
- Governance frameworks for responsible AI use
- Future Trends in Generative AI and Software Engineering
- Exploring upcoming advancements in AI technologies
- Preparing for future AI innovations in software engineering
- Strategic planning for long-term AI integration
- Final Project: AI-Enhanced Software Engineering Plan
- Developing a comprehensive plan for integrating AI in software engineering practices
- Group presentations and peer feedback
- Actionable steps for post-workshop implementation