Workshop on “The Future of Innovation:Generative AI & Prompt Engineering”

ARTIFERA – the student association of the departments of Artificial Intelligence and Machine Learning and Computer Science and Engineering (Artificial Intelligence and Machine Learning),organized a workshop on “The Future of Innovation: Generative AI & Prompt Engineering” on 22 nd March 2025. The resource person for the workshop was Mr. Ravi Kumar Nadiga N.K, Senior
Principal Product Manager, Oracle India Private Limited, Bangalore. Mr. Ravi Kumar Nadiga N.K has over 20 years of experience in the software industry. His areas of expertise include Software as a Service (SaaS), Generative AI, and Machine Learning. He is also well-versed in Agile Methodologies, Product Management, AI-driven business analytics, and ERP Systems.

Around 60+ students participated in the one-day workshop that provided an in-depth exploration of generative AI, its applications, and the critical role of prompt engineering in optimizing AI-generated outputs. The session aimed to equip students with both theoretical knowledge and practical skills in this transformative field.

Participants gained a comprehensive understanding of generative AI, learning about its core principles, underlying models, and functionalities. The workshop highlighted real-world applications across various industries, illustrating how generative AI is revolutionizing sectors such as content creation, software development, and business automation.

A key highlight of the session was the hands-on experience with AI tools, where students interacted with advanced models like ChatGPT. Through live demonstrations and guided exercises, they explored the capabilities of these tools, gaining practical insights into their usage for content generation, coding assistance, and creative problem-solving.The workshop also focused on effective prompt engineering techniques, teaching students how to craft precise and optimized prompts to generate high-quality AI responses.

Additionally, the session provided valuable industry-relevant knowledge, bridging the gap between academic learning and real-world AI applications. The interactive nature of the workshop fostered engaging and experiential learning, allowing participants to apply their knowledge in real-time scenarios. By the end of the session, students had successfully created AI-generated content, optimized prompts for different use cases, and developed a deeper appreciation of the potential and limitations of generative AI.