AI Tools and Techniques: Machine Learning & Deep Learning with Real-Time Demos

This workshop provides a fast, structured, and practical introduction to Machine Learning and Deep Learning by combining real-world intuition with real-time interactive demos. Participants will learn how to distinguish ML from DL, understand the main learning paradigms and core modeling concepts, follow the end-to-end ML workflow, and connect key ideas to real-world applications. The session will cover essential concepts such as data splitting, generalization, overfitting and underfitting, neural network fundamentals, loss functions, optimizers, and the intuition behind backpropagation. These concepts will be illustrated through live, interactive demonstrations designed to make the learning experience practical and engaging. The session concludes with an interactive quiz to reinforce the main takeaways. By the end of the workshop, participants will be able to differentiate ML and DL, understand the main ML workflow and learning paradigms, explain core modeling concepts, and understand the fundamentals of neural network training.