Training schedule

7 Sep - 9 Sep, 2022
Online, instructor-led / English
28 Nov - 30 Nov, 2022
Online, instructor-led / English


Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Data Science - Senior

Deep Learning

Learn to create Deep Learning Algorithms from the experts. Thanks to its proved track records of developing deploying Deep Learning applications at leading data-driven enterprises, GoDataDriven has developed this 3-days course with just the right mix of concepts and hands-on.

This training is for you if…

  • You want to leverage the power of deep learning to solve problems that would be impossible to solve with more traditional ML techniques

  • You have (some) experience with data science & machine learning

  • You want a practical course that will teach you to build your own deep learning models

  • You want to understand enough theory to make the right decisions for your deep learning models

This training is not for you if…

  • You never work with unstructured data, such as text, images, audio or video and never expect to either

  • You have no experience with Python or data science whatsoever (check out Certified Data Science with Python)

  • You are already familiar with DL basics and want to apply it to a specific data type (see NLP/Image Processing)

  • You are not interested in applying DL in practice; you’re just here for the maths and theory (book recommendation?)

Clients we've helped

  • Instruqt GoDataDriven
  • Fivetran logo

What you'll learn

  • The history of Deep Learning
  • How to determine your network architecture
  • How to choose which loss functions to use
  • The best structure and way of working for creating your neural network
  • Advanced topics within Keras API, such as embedding layers, lambda layers, custom layers, and tensor operations within neural networks

  • How to build an image classifier
  • How to build a sequence classifier
  • The internal structure of LSTM and GRU and the differences between them
  • The basics of convolutional neural networks and how they work
  • Build and train your own neural networks with Keras/TensorFlow

  • Apply deep learning to a range of different types of data: image, text and time series

  • Have an intuitive understanding of the theory behind Deep Learning in order to make the right choices

The schedule

Day 1
  • The basics of neural networks (backpropagation, optimizers, activation functions).
  • How to use Keras for Deep Learning
  • Heuristics to get your network to learn and perform
Day 2
  • Advanced knowledge of Keras API
  • Convolutional neural networks with an application for image recognition
Day 3
  • Recurrent neural networks (LSTM, GRU) with an application for time series and NLP
  • Final hands-on lab based on participants interest and feedback

learning journey

Data Science Learning Journey

meet your trainer

Marysia Winkels

Data Scientist

Marysia is a data scientist who is proud to work on any AI application that can provide solutions to real-world problems. She is always eager to learn from, and be inspired by, her peers.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Giovanni Lanzani, our Managing Director of Learning and Development, if you want to know more. He’ll be happy to help you!

Call me back

You can reach him out by phone as well at +31 6 51 20 6163

Course: Deep Learning Training

Book now