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AI & Deep Learning

The power of algorithms!
Already have programming experience? Here you will delve deep into how neural networks work and learn about various areas of application. Relevant accompanying topics such as data ethics and the strategic use of machine learning algorithms are also covered.

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How to join the track

You can choose this track as part of the local Digital Shaper Program or the remote Code At Home Bootcamp.

While you need to attend in-person for our Digital Shaper Program, the Code at Home Bootcamp provides a convenient option for those unable to access physical locations or seeking a quicker completion pace.

Time

6 months, 5 hours per week or 3 months, 8 hours per week

Certificate

Receive a graduation certificate
by presenting your project

Participants

Over 900 graduates

What is Artificial Intelligence?

See what hides behind the buzzword “AI”!

AI is an expandable definition, which involves learning structures that are able to detect patterns and apply the learned patterns to predict or transform something. When we talk about AI, we talk about deep neural networks or reinforcement learning systems that are capable of solving large, complex problems like object detection, object classification, or autonomous driving. These applications are ruled by deep neural networks with millions of parameters.

Why Artificial Intelligence?

Learn more about the various applications of Artificial Intelligence!

Data is the new oil, but „AI ist the new electricity“ - Andrew Ng. Artificial intelligence helps to mine valuable knowledge from data. Deep neural networks got a boost in popularity in 2011 when the neural network AlexNet solved the ImageNet competition (detection of 1000 classes of objects in images) with an error rate of 16%. Before deep neural networks ruled this competition the average error rate was way above 25%. Since then the error rate has been decreasing to less than 5%. The success of deep neural networks relies on the huge amount of data that is necessary to train the millions of parameters. Since the amount of data is continuously increasing, the range of applications for AI becomes wider and deeper. While AI has been a long time an instrument to solve a single very specific task, AI is more and more developing into a generalized approach for problem solving.

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What will you learn?

Learn more about the insights of our AI & Deep Learning-Track!

Acquire knowledge about deep learning algorithms

Learn how to build image recognition system

Get to know the mathematical foundation behind the training of neural networks

Acquire general python programming knowledge with emphasis on deep learning libraries

You can´t wait to acquire the most in demand tech skills?

Are you ready to learn?

Projects from previous participants

Have a look at these completed projects and get inspired!

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Chess Buddy

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Choose your Journey.

Locally in your city

Discover the most effective way to build tech domain knowledge with our free hybrid program! The blended-learning concept combines remote learning with in-person community events in your city.

Digital Shaper Program

#codeathome Bootcamp

Remote

Learn to code from anywhere with our free bootcamp! The fully remote program offers online learning tracks, project work and connects you with a supportive community and mentors from around the globe.

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