This presentation is designed to bridge the gap between traditional software development and AI. It will start by drawing parallels between object-oriented programming concepts and AI principles, demonstrating how familiar programming paradigms can provide a foundation for understanding AI. This approach will demonstrate how conventional programming paradigms, like encapsulation, inheritance, and polymorphism, can provide a solid foundation for comprehending AI's underlying mechanisms.

The session will then delve into pivotal AI concepts, such as reinforcement learning and natural language processing (NLP), viewed through the prism of everyday programming challenges and solutions. This will not only make AI relatable but also showcase its practical applicability in real-world scenarios.

To illustrate how AI can be embedded into everyday coding, especially in the context of business application development, the presentation will include a series of targeted examples, such as personalized marketing, automating data entry and validation, and enhancing security with anomaly detection.

The goal is to not only demystify AI but also to vividly demonstrate its role as a natural extension of traditional software engineering. By the end of the session, attendees will have witnessed firsthand how their existing coding skills can be leveraged to integrate AI into various aspects of business application development, opening up new avenues for innovation and efficiency.