About This Course

Ever wondered what powers tools like ChatGPT, DALL·E, or Claude? This session walks you through the evolution of deep learning and explains how transformers revolutionized AI. Using simple visual aids and analogies, we’ll explain embeddings, attention, positional encoding, and the transformer architecture. Unlock the inner workings of Generative AI models like ChatGPT in this beginner-friendly session, designed to make complex concepts easy to grasp. Through simple visual aids and relatable analogies, you'll explore the journey from basic neural networks to advanced transformer architectures. We’ll cover essential topics including Neural Networks 101, word embeddings, tokenization, RNNs and their limitations, attention mechanisms, and positional encoding. You'll learn how transformers function, how they differ from earlier models, and what makes them so powerful. By the end of the course, you'll have a clear mental model of what happens inside a GenAI system and a strong foundation to confidently engage with these technologies in practical contexts—plus an understanding of the full GenAI model lifecycle.

Course Objectives

Course Prerequisites

Target Audience