Organized by DotPy, this session focuses on applying AI concepts in practice, with a strong emphasis on Generative AI and Prompt Engineering.

Participants will explore Deep Learning basics, Neural Networks at a conceptual level, and the difference between training and inference, while understanding the importance of data quality and quantity. The session then introduces Generative AI, Large Language Models (LLMs), and text, image, and multimodal AI models.

A key part of the session is dedicated to Prompt Engineering—why prompts affect model behavior and how to structure effective prompts using role, instruction, context, constraints, and output format. Attendees will learn practical prompting techniques such as zero-shot, few-shot, and controlled chain-of-thought prompting.

Through hands-on practice with AI tools, participants will apply what they learn to content creation, structured thinking, and problem solving. The session concludes with a discussion on AI limitations, ethical considerations, and responsible AI usage.

🎯 Outcome:
Participants will develop practical skills to interact effectively with AI tools, write high-quality prompts, and use AI responsibly.