This session will delve into leveraging effective prompt engineering techniques to unlock the full potential of generative AI tools like ChatGPT.

This session will delve into leveraging effective prompt engineering techniques to unlock the full potential of generative AI tools like ChatGPT. Prompt engineering enables users to guide generative AI models effectively, achieving precise and desired results. Participants will gain hands-on experience with techniques like zero-shot and few-shot prompting to enhance the reliability and quality of large language models. They will explore advanced approaches such as Interview Patterns, Chain-of-Thought, and Tree-of-Thought methodologies to generate precise and context-aware responses. The session also covers how AI impacts the software development lifecycle, showcasing the application of AI in code generation, debugging, troubleshooting, and program optimization. Attendees will learn to create static websites, generate architecture diagrams, and design innovative solutions using AI. What Participants Will Learn: • Explain the concept and relevance of prompt engineering in generative AI models. • Practice common prompt engineering techniques and approaches for writing effective prompts. • Utilize tools and techniques to generate code snippets, scripts, test cases, and applications using generative AI models. • Develop innovative software engineering solutions using AI-powered tools and large language models (LLMs). • Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI.