Neural Networks and Deep Learning (1-day online workshop)



  • basic knowledge of Python programming.
  • basic knowledge of university mathematics (Calculus, Probability, Statistics).


  • The Machine Learning workflow.
  • Neural networks: from perceptron to deep learning.
  • Working with tabular data.
  • Image classification.
  • Deep learning for NLP tasks.
  • Transfer learning. Fine-tuning models.
  • Debugging and deploying deep learning models.


In this course, we will dig into the most exciting technology around: deep learning. We will train neural networks in small data to teach you the basics to get you started developing your own applications. We will also cover the basics of using open-source powerful models for custom use-cases (fine-tuning).

Note: All trainings are in English language.

Additional information


January 12th, 2024, 9:00-16:00 CET (online)

Author: Pablo Maldonado

I am a consultant, technical trainer and lecturer in automation, data science and AI. My students, either at universities or companies, appreciate my hands-on approach coming from my experience at several projects across industries like financial services, marketing, and HR. Since 2017, I have been leading workshops for 30+ clients in 10+ countries including major companies such as Shell, Renault, PwC, O’Reilly Media, O2, La Poste, as well as institutions like the European Investment Bank, the Czech National Bank, the Australian Government, and many others. I have written a couple books (on Shiny, and on Deep Learning). I hold a PhD in Applied Mathematics from the Sorbonne Université in Paris, with a specialization in Game Theory and Markov Decision Processes.

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