Artificial Intelligence – Applied Introduction: Concepts, Applications and Challenges


Artificial intelligence (AI) represents one of the digital world domains that is currently the subject of an important development all over the world. This means that citizens are and will be confronted, in their professional and personal lives, with digital products that include some artificial intelligence components.

The objectives of this training are:

  • to understand the Artificial Intelligence landscape and the position of deep learning within it
  • to discover the main application domains: services to citizens, e-commerce, medicine, entertainment (gaming, music, painting, …), agriculture, accounting, industry 4.0, transportation (cars, trains, planes),
  • to play with some accessible artificial intelligence experimenting the various techniques in different application domains
  • to understand the social and ethical dimensions of artificial intelligence
  • to understand the impact of AI on society and on the job market• to understand through practice all the important notions which constitute the basis of the field of deep learning:
    – neural network, weight, activation function, batch, bias, cost function, dropout, epoch, forward/backward propagation, gradient descent, hidden layer, parameters, hyper-parameters, input, output, learning rate, dataset, data augmentation, training, validation, test datasets, architecture, ANN, CNN, RNN, GAN, Transformers
  • to understand through practice the main deep learning techniques such as:
    – supervised, semi-supervised, unsupervised
  • to get an intuitive comprehension of the main mathematical tools which are:
    – calculus (functions,…), algebra (matrices,…), probabilities

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SKU: 5985 Category:

Start date

June 15, 2023

End date

June 16, 2023

Language(s) of the training


Languages spoken by the coach(es)

English, French


Professor Doctor Nicolas GUELFI



Learning Outcomes

After completion of this training, you will be able to:

  • explain what the main notions related to deep learning are
  • list and illustrate the current application fields of deep learning
  • consult, understand and analyze general news about artificial intelligence
  • follow the next level Training “AIAIAI” – Advanced Increment to the Artificial Intelligence Applied Introduction training


This training has a total of 12 hours and takes place over 2days:

  • Day 1/2:   15.06.2023    10:00 – 13:00    &    14:00 – 17:00
  • Day 2/2:   16.06.2023    10:00 – 13:00    &    14:00 – 17:00

Format and Location

This course takes place ON-SITE

Terres Rouges building
14, porte de France
L-4360 Esch/Alzette




No prerequisites necessary

Additional Info


This training does not have any assessment or exams; a certificate of participation will be issued to participants.

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