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Fundamentals of Deep Learning

Certificate of attendance from Spirit in Projects Foundation
3.6 / 4 8 ratings from live online trainings

Do you like to think analytically, are you enthusiastic about the fact that machines can learn and would you like to get to know the potential of neural networks and especially deep learning? If you would like to find out everything about current developments in the field of deep learning, then look forward to this training. Together we train systems that learn tasks in order to then carry them out automatically.

AI Expert

Your learning objectives

Understand machine learning methods
Get to know the structure and functionality of neural networks
Apply deep learning to train neural networks
Understand and use application areas such as pattern recognition, image and text processing and object recognition
Use tools and platforms for deep learning

Target group

Business Analyst Requirements Engineer AI Expert Project Manager Project manager IT project manager Enterprise Architect System Architect Software Architect

Course content

1 Basics
  • What is Machine Learning?
  • The difference between machine learning and artificial intelligence and data science
2 Introduction to the methodological basics
  • Difference from traditional software development
  • Components of machine learning
3 Requirements for machine learning
  • Data requirements
  • Requirements for predictability
4 Learning approaches for machine learning
  • Supervised
  • Unsupervised
  • Reinforcement
5 Machine learning model types
  • Decision Tree
  • Neural Networks
  • Regression analysis
6 Deep learning
  • What is an artificial neural network?
  • What is Deep Learning?
  • Benefits of Deep Learning
  • Simple deep neural networks
  • Convolutional Neural Networks
  • GAN
  • Transformers
7 ML platforms and technologies
  • Google TensorFlow
  • PyTorch
  • Repositories
  • ML programming languages

Certification

For this training you will receive a certificate of participation from Spirit in Projects.

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What we recommend after this course

Course at a glance

  • Certification Certificate of attendance from Spirit in Projects
  • Level Foundation
  • Duration 2 days
  • Early booking price EUR 1,390.-- excl. VAT Regular price EUR 1,490.-- excl. VAT

AI Expert

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Fundamentals of Deep Learning

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 – Online English EUR 1,390.--
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 – Vienna English EUR 1,390.--
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 – Frankfurt am Main English EUR 1,390.--
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 – Frankfurt am Main English EUR 1,390.--
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 – Vienna English EUR 1,390.--
Early booking rate
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 – Online English EUR 1,390.--
Early booking rate
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 – Frankfurt am Main English EUR 1,390.--
Early booking rate
Book now
 – Online English EUR 1,390.--
Early booking rate
Book now
 – Vienna English EUR 1,390.--
Early booking rate
Book now
 – Frankfurt am Main English EUR 1,390.--
Early booking rate
Book now
 – Vienna English EUR 1,390.--
Early booking rate
Book now
 – Online English EUR 1,390.--
Early booking rate
Book now
  •  –
    Online · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Vienna · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Frankfurt am Main · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Frankfurt am Main · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Vienna · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Online · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Frankfurt am Main · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Online · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Vienna · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Frankfurt am Main · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Vienna · English
    EUR 1,390.--
    excl. VAT
    Early booking rate
  •  –
    Online · English
    EUR 1,390.--
    excl. VAT
    Early booking rate

Participant ratings

3.6 / 4

8 ratings

“I can recommend this training”

As of 11/2026, updated monthly.


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