Deep Learning A-Z [2026]: DL, AI in Python & AWS + LLM Prize

About this course

Welcome to Deep Learning A-Z!

This course is structured in 6 parts:

Part 1 - Artificial Neural Networks: ANNs Intuition, ANNs with Python, ANNs with AWSPart 2 - Convolutional Neural Networks: CNNs Intuition, CNNs with Python, CNNs with AWSPart 3 - Recurrent Neural Networks: RNNs Intuition, RNNs with Python, RNNs with AWSPart 4 - Self Organizing Maps: SOMs Intuition, Building a SOM with Python, Hybrid Deep Learning Model with PythonPart 5 - Boltzmann Machines: Boltzmann Machines Intuition, Building a Boltzmann Machine with PyTorchPart 6 - AutoEncoders: AutoEncoders Intuition, Building an AutoEncoder with PyTorch, Building two Recommender Systems for E-Commerce and Movie Recommendation with AWSArtificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role.

But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.--- Why Deep Learning A-Z? ---Here are five reasons we think Deep Learning A-Z really is different, and stands out from the crowd of other training programs out there:1. ROBUST STRUCTURE

The first and most important thing we focused on is giving the course a robust structure. Deep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it.

That's why we gr

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