

A Gentle Intro to Deep Learning (with Besart)
“The path to multimodality”
Join us for a 90-minute hybrid session led by Besart, joining us online from London.
Besart is a Machine Learning Engineer and Research Lead in LLMs and Multimodal Systems, co-founder of ML Institute, and former ML Engineer on the biggest deep learning system at Facebook.
This beginner-friendly session offers a practical introduction to deep learning, with real-world examples like:
How search engines use embeddings
How models like CLIP or Whisper understand images and audio
What it takes to build and train modern ML systems
You’ll also participate in a live mini-exercise to apply what you’ve learned.
Perfect for:
Engineers curious about AI systems
Product or data folks exploring how ML models process real-world inputs
Students or early-career professionals wanting to build a foundation in deep learning
No prior ML experience required, just bring your curiosity and a notebook/laptop to take notes.
Date: July 30
Time: 6:00 PM
Duration: 90 minutes
Format: In person, with speaker joining online
Free & beginner-friendly