Learn Neural Networks Fundamentals and build one from scratch with Pytorch

Are you curious about how neural networks work and eager to create one from the ground up? Join us for an engaging hands-on workshop where we cover the concepts behind neural networks and take you through building your very own using PyTorch deep learning framework.

This event is perfect for beginners in AI or those with some programming experience looking to deepen their understanding of machine learning fundamentals.

We'll cover:

1. The inner workings of neural networks: layers, nodes, activation functions, and backpropagation.
2. A practical step-by-step guide to constructing and training a neural network using PyTorch.
3. Insights into debugging and optimising your models for better performance.

Speaker:

Ali Parandeh is a Chartered Engineer with the UK Engineering Council, and a certified developer and data scientist with Microsoft and Google.

He is the O'Reilly Author of the upcoming book on "Building Generative AI Services with FastAPI" (June, 2025) and has led engineering teams at both multi-national consultancies and at tech startups across various markets to build and deploy AI-enabled software.