Artificial Intelligence with Deep Learning

Postgraduate course. Face-to-face.


UPC School
Shortly we will publish updated information about the new edition of this programme.

Artificial intelligence (AI) is at the core of the industrial revolution 4.0, based on the automatic processing of data. The availability of large volumes of data and computational resources with affordable costs has made possible the training of deep neural networks, a task that was unaffordable until now. Several companies are already applying this data-driven programming paradigm in their daily activity, while in parallel public administrations are also developing strategic plans to lead the sector. However, the same challenge repeats everywhere: the scarcity of professionals capable of understanding the potential and opportunities of these tools, as well as their implementation in a practical and scalable fashion.

In April 2018, the European Commission estimated that the investment in artificial intelligence in the EU during 2017 had been between 4,000 and 5,000 million euros, a figure that is expected to increase to 20,000 million euros in 2020. In the United Kingdom, the AI ​​Sector Deal between the public administration and industry has been promoted to keep the country among the leading ones in the sector. In France, the public administration has announced that it will inject 1,500 million euros to develop AI. In the United States, the main boost comes from technology giants such as Google, Facebook, Amazon or Microsoft, which are expanding their development and research centers around the world. Meanwhile, China has designed a national plan that aims to make the country the world leader in artificial intelligence, with the expectations of generating a business volume of 150,000 million dollars in 2030. In this context, it is not surprising that glassdoor.com has chosen “data scientist” as the best job in the United States, being the skills in deep learning the most demanded.

Postgraduate in Artificial Intelligence with Deep Learning aims to satisfy this demand of professionals with a teaching team with extensive experience in research (publications at NIPS, ICLR, CVPR) and teaching courses (since 2016). Graduates will master both the theoretical concepts and the Its implementation on platforms such as Tensorflow and PyTorch, in order to develop models based on deep neural networks. This degree will also include sessions where industry professionals will show how these technologies are being applied to innovate.

Related eventsRelated events:


  • Design deep learning models, especially for processing text, video and audio.
  • Optimize and monitor the training of deep neural networks.
  • Process large data volumes with specialized hardware (CPU and GPU).
  • Implement solution in deep learning frameworks.
  • Develop projects powered by artificial intelligence.

Who is it for?

  • Graduates in telecommunications, computer science, maths and physics who would like to develop their skills on machine learning with deep neural networks.
  • IT professionals working who would like to focus their activity towards artificial intelligence.
  • Software developers willing to benefit from the new opportunities created by artificial intelligence.

Attendees must bring their laptop in some sessions specified in the academic calendar. The laptop does not require any special hardware or software, only the Google Chrome browser.

Career opportunities

  • Artificial intelligence engineer.
  • Engineer in deep neural networks.
  • Computer vision engineer.
  • Engineer in natural language processing.
  • Engineer in the processing of audio and voice.
  • Data analyst / data scientist.

Information form
(34) 93 114 68 05


Next course:
February 2020

(120 teaching hours)

Tuesday  18:30 to 21:30Thursday  18:30 to 21:30
Taught at:
Tech Talent Center
C/ de Badajoz, 73-77

Registration fee:
3.800 €

Language of instruction:

Print course details