If you want to learn about the tools that have revolutionized the industrial sector, this is your best option"

A city is an urban space with a high population density in which diverse activities are developed for social life with a high level of interaction. Consequently, a Smart City provides a traditional city with tools and systems that make its habitability more efficient. This program teaches the basics of Smart Cities technological engineering, such as the parameterization and sensorization of their environments, the datification of public infrastructures, the measurement and scanning of social events and the advanced analysis of urban dynamics, among others.

At the same time, there is Natural Language Processing (NLP), understood as the study of how machines understand human language. Nowadays, NLP is used for various functions such as mail filters, wizards, search results, automatic translations, sentiment analysis, automatic subtitles, etc. This postgraduate diploma provides specialized knowledge about the main current uses of NLP and the libraries that allow working with NLP focused on industrial projects.

Training a model from scratch requires a large amount of previously catalogued information, approximately 10,000 photos of each of the types to be differentiated. This takes hours to achieve good results. But in many cases, it is possible to start from previously trained models, this technique is known as Transfer Learning. This program examines which network models are currently available, in order to facilitate the training of any industrial model by applying the Transfer Learning technique.

Furthermore, the graduate has the best 100% online study methodology, which eliminates the need to attend classes in person or to comply with a predetermined schedule. Over the course of 6 months, engineers will deepen their understanding of the scope of application of each technology, understanding the competitive advantages they bring, so that they will be positioned at the technological forefront and will be able to lead ambitious industrial projects, now and in the future.

Completing this postgraduate diploma will position you as an engineering and industry professional at the forefront of the latest developments in the sector"

This postgraduate diploma in Smart Cities and Artificial Intelligence (AI) contains the most complete and up-to-date educational program on the market. Its most notable features are:

• Case studies presented by experts in Smart Cities and Artificial Intelligence
• The graphic, schematic, and practical contents with which they are created, provide and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will be able to develop a Smart City project, an industrial technology that collects and returns data in real time, turning a city into an entity with a life of its own"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide professionals with situated and contextual learning, i.e., a simulated environment that will provide immersive training, designed for training oneself in real situations.

This program is designed around Problem Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.  

This 100% online program will allow you to combine your studies with your professional work. You choose the time and place"

In-depth knowledge of the scope of application of each technology, understanding the competitive advantages it brings"

The postgraduate diploma in Smart Cities and Artificial Intelligence (AI) focuses on addressing the Smart Cities, NLP/NLU in Embeddings and Transformers and Computer Vision topics. Everything from a practical point of view and focused on engineering, to generate a sense of security in the student that will allow him to be more effective in his daily practice. The direct application of the acquired knowledge is an added professional value, which very few engineers specialized in information and communication technologies can offer.

Increase your skills in developing sector solutions in the digital industry and set yourself up for success"

General Objectives

• Present the current panorama of the Smart City model in different countries
• Analyze the advantages of a hyperconnected Smart City model
• Establish different Big Data models and their prediction models
• Propose application scenarios in different city typologies
• Develop specialized knowledge of NLP and NLU
• Examine the operation of Word Embeddings
• Analyze the mechanism of Transformers
• Develop Use Cases of where to apply NLP
• Determine how the Convolution layer works and how Transfer Learning works
• Identify the different types of algorithms mainly used in Computer Vision

Specific Objectives

Module 1. Smart Cities as innovation tools

• Analyze the technological platform
• Determine what a City Digital Twin is (Virtual Model)
• Establish which are the monitoring layers: density, movement, consumptions, water, wind, solar radiation, etc.
• Carry out a comparative analysis of the following variables
• Integrate the different sensor networks (IoT/M2M), as well as the behavioral parameters of the inhabitants of the city (treated as human sensors)
• Develop a detailed vision of how Smart Cities will influence the future of people
• Generate interest in the implementation of smart city models

Module 2. R&D and AI NLP/NLU. Embeddings and transformers

• Develop specialized knowledge of NLP (Natural Language Processing)
• Identify NLU (Natural Language Understanding)
• Differences between NLP and NLU
• Word Embeddings and examples using Word2vec
• Analyze Transformers
• Examine examples of various Applied Transformers

Module 3. R&D and AI Computer Vision Object identification and tracking

• Analyze what Computer Vision is
• Determine typical computer vision tasks
• Analyze, step-by-step, how Convolution and Transfer Learning works
• Identify what mechanisms we have available to create modified images, from our own, to have more training data
• Compile typical tasks that can be performed with computer vision
• Examine commercial computer vision use cases

You are looking at a comprehensive and multidisciplinary program, which will allow you to excel in your career, following the latest advances in the field of Artificial Intelligence in the industry"