Welcome to an extraordinary journey where software engineering meets AI wizardry! Witness the magic of gen-AI, transforming your code into brilliance. Guided by skilled enchanters, uncover AI-powered secrets and redefine your craft. Embrace the future of development, accelerating your projects with top-notch code quality.
This workshop is ideal for:
Over the course of two days, participants will gain a comprehensive understanding of how future software engineering will be assisted by AI. An in-depth view of how Generative AI impacts the Software Development Life Cycle (SDLC), the tools integral to this new paradigm, and the associated risks.
Tools in focus:
Session 1: Introduction to Generative AI in Software Engineering
- Exploring the transformative impact of recent advancements in AI and ML on the software engineering field.
- Understanding the concept and history of Generative AI, highlighting its unique characteristics compared to predictive and analytical AI.
Session 2: Hands-On with Generative AI Tools for Software Development
- Providing practical guidance on using powerful Generative AI tools like ChatGPT and GitHub Copilot.
- Participants will gain hands-on experience in utilizing these tools for coding assistance, bug detection, and more.
Session 3: AI-Assisted Software Engineering: Developing an Application with Generative AI
Applying Generative AI tools to a small application development project. Exploring the role of AI in different stages of software engineering:
- Requirements Gathering & Analysis
- Solution Design
- Development
- Testing
Session 4: Managing Risks and Ethical Considerations in AI-Assisted Software Engineering
- Discussing the potential risks and challenges of heavily relying on AI in software development.
- Addressing limitations of current AI tools and techniques.
- Exploring ethical considerations related to data privacy, algorithmic fairness, and avoiding biases in AI-assisted software engineering.
Session 5: Conclusion and Wrap-Up
- Recap of key concepts, tools, and techniques covered in the training.
- Providing additional resources for continued learning and exploration.
- Encouraging participants to apply their newfound knowledge and skills in their software engineering practices.
