Artificial Intelligence: Building Brains with Deep Learning (Online)

Dive into the world of deep learning and neural networks, exploring their architecture and training methodologies. Learn to use frameworks like PyTorch to build and train models for tasks like image classification, text generation, and more. By the end of the course, you'll develop an AI-powered "brain" that can perform advanced recognition and classification tasks.

What You'll Learn

• Master the process of training neural networks, tuning hyperparameters, and optimizing models to achieve high accuracy.
• Explore how neural networks handle images and text, with real-world applications like handwritten digit recognition, image classification, or text generation.
• Get hands-on experience with PyTorch, a powerful deep learning framework, as you learn to create, train, and optimize your models.
• Dive deep into the architecture of neural networks, understanding layers, nodes, and the processes behind training a model.
• Learn the foundations of deep learning, understanding how neural networks mimic the brain’s processes to solve complex problems.

Final Project

For your final project, you will build an AI-powered "brain" capable of recognizing handwritten digits, classifying images, or generating text. Using PyTorch, you will train and optimize your model to perform these tasks and demonstrate its capabilities by applying it to real-world datasets.

Target Audience

This course is ideal for students interested in deep learning, neural networks, and artificial intelligence. No prior experience is required, though a curiosity for AI and coding will enhance the experience.

Requirements

macOS 13+, Intel processor or Apple Silicon, 8GB+ RAM