Executive
Program in
Artificial Intelligence
Diploma accredited by SCHILLER and IBM

This module covers the history of Artificial Intelligence, how it has evolved, what it is and what techniques exist. It explains how companies have adapted to change and where we are today.

In this module, we will discuss actual case studies in which companies have used Artificial Intelligence to transform their business models and how you can improve your processes and innovate through the use of Artificial Intelligence.

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In this module, we will look at actual case studies in which startups have used Artificial Intelligence to create products or new business models.

The concept of Artificial Intelligence can sometimes sound like science fiction. In this module, we want to dispel concerns about its complexity and demonstrate the value that various profiles can bring to this type of project and which tools can be used.

Automating decisions through the use of technology can pose new challenges to organisations, such as the responsible use of data. This module examines the current situation, the challenges and problems that corporations are facing in this field, and the means being used to ensure the ethical and responsible use of Artificial Intelligence.

In most technology projects, we focus on the actual use of the technology but fail to think about the end users and the end experience of our solution. In this module, we will learn what to take into account, considerations, limitations, users’ wishes… before we start developing our Artificial Intelligence models and projects.

Artificial Intelligence projects require an investment in people and technology, therefore, in this module, students will be guided through real examples to learn how to generate a business case.

Artificial Intelligence projects range from data collection to the production, monitoring and retraining of the models. In this module, students will learn about the different phases, challenges and requirements to manage the complete project cycle.

Students will acquire hands-on experience in one of the most highly requested projects of recent years, transforming a Call Center so that, through technology and cognitive capabilities, it can respond to users 24×7 and scale automatically.

One of the most widespread branches in terms of use and knowledge is natural language processing. During this session, students will learn how machines are capable of understanding human language and what the main benefits of this are.

In these sessions, companies with projects and large investments in Artificial Intelligence will tell us about their day-to-day challenges, how they address them, and what opportunities and advantages they have obtained through the power of Artificial Intelligence and data.

Students will have to apply the knowledge acquired during the programme through a practical case study that will be presented in the classroom. It will be a guided challenge in which the teachers will provide the necessary guidance and support. A real company project will be simulated and the usual project design and implementation phases must be observed.

1. IBM Garage Methodology – Session in IBM Garage and students will learn how the methodology works and how to apply it to the practical scenario they will have to develop later.

2. Introduction to the case study – to successfully complete the course, students must work on a case study, which will be outlined during this session and which will help them to put the knowledge acquired during the course into practice. The Garage methodology created by IBM will be applied to develop the case study.

3. Case study review – Case study checkpoint and clarification of any issues.

4. Final Presentation. Final delivery of results and assessment by a multidisciplinary panel.