Join us for a practical deep-dive into how foundation models are built from the ground up. Speaker: Muzahid Hussain — AI Expert & CTO Rather than treating large AI models as a black box, this session will break down the core ideas behind them and show how the major pieces fit together. What we’ll cover: • What makes a model a foundation model • Core architecture and training pipeline • Data preparation, tokenization, and representation • Pre-training and fine-tuning concepts • Scaling and evaluation considerations • Real-world lessons for AI builders who want to understand models beyond APIs Who should join: AI learners, developers, data scientists, engineers, and builders who want a stronger first-principles understanding of modern AI models. Tuesday, 22 September 2026 7:00 PM GST onwards Live online session Hosted by Decoding Data Science — Learn by Building.