Program in
Artificial Intelligence
Diploma accredited by SCHILLER and IBM


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45 h





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Wednesdays and Fridays
from 19:00 to 21:30

Next intake

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September 2022


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live classes


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Program objectives

001 big data

Understand how a business can harness the potential of its own data and how it can extract knowledge from it

003 analysis

Study how companies are evolving through the use of AI

005 artificial intelligence 1

Implement the knowledge acquired during the course

007 brain 1

Analyse the current use of AI and how it can add value to various business processes

004 artificial intelligence

Understand how to use AI in a responsible way and what the implications are

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Aimed at:

This program is intended for students
and professionals without in-depth
knowledge or with basic knowledge
of Artificial Intelligence, who are
looking for a deeper understanding of
this field.

Why an Executive Program in Artificial Intelligence?

This program will help you understand how businesses can harness the potential of their own data, extract knowledge from it and add value to various business processes, using Artificial Intelligence. The program will include the IBM Garage – an end-to-end model for accelerating digital transformation -, real-world business case studies and practical examples to get the most out of the training.

In addition, the program also focuses on Responsible
Artificial Intelligence to promote the appropriate use of data in the business environment
. This program for executives is a tour of the AI universe that will make you competent in efficiently analysing and implementing the knowledge you have learnt, thus propelling your professional profile to the next level.

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Module I: Artificial Intelligence, a cultural shift

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.

Module II: Innovation, AI as a business priority

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.

Module III: AI in the Startup universe


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

Module IV: Democratising Artificial Intelligence

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.

Module V: Responsible Artificial Intelligence and its impact on business and society

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.

Module VI: Design applied to Artificial Intelligence projects

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.

Module VII: How to generate an Artificial Intelligence Business Case

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.

Module VIII: What to bear in mind in an AI project

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.

Module IX: Applied Artificial Intelligence I – Cognitive Call Center

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.

Module X: Applied Artificial Intelligence II – Natural language processing

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.

Module XI: Company experience

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.

Module XII: End of Programme Challenge

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.

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The teaching method is primarily based on experiential, challenge-based learning. Students will solve actual IBM challenges in an international environment, thus enhancing the transformational power of the educational experience. This educational approach seeks to train professionals in the ability to use technology and put it at the service of society to meet the challenges of a global and diverse world.

IBM Garage is IBM’s approach to enabling companies to become agile, innovative and work more like startups. The IBM Garage experience seamlessly blends business strategy, design, and technology into a single, comprehensive experience.
• Co-create through Enterprise Design Thinking workshops, offered by top professionals.
• Co-execute to create, calculate, test and learn new ways of working.
• Cooperate to maintain rapid scalability and continuous cultural change.

With IBM Garage you derive measurable business value from innovation projects, drive cultural change through co-creation with IBM experts and leverage the momentum of iterative innovation to drive digital transformation at scale. You work alongside experts in design, architecture, agile methods, data science and AI, automation, blockchain and security, and have access to the latest AI and hybrid cloud technologies. IBM Garage is how the world’s leading companies are redefining themselves from the outside in.

Learn about IBM Garage

What happens at IBM Garage?

Accreditation Degrees

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Teaching staff

Contents of Interest

IBM LightBoarding Session: Operationalizing Artificial Intelligence Lifecycle

How IBM’s hyper-realistic Cyber TaHow does IBM Watson work?

Intro to IBM Watson

MarTech Forum entrevista a María Borbonés de IBM

Other programs

Do you want to know more about our Artificial Intelligence Executive Program?

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