The current importance of Artificial Intelligence makes this postgraduate diploma a safe bet, with a market in continuous growth and full of opportunities"  

Convolutional Neural Networks (CNN) are key elements for solving machine learning problems related to visual data. These architectures have a wide range of applications, being especially useful in the healthcare field. Health professionals use CNNs in their medical programs to diagnose diseases through images such as X-rays or CT scans. In this way, these systems are highly beneficial in planning radiotherapy treatments, thus helping to determine the optimal irradiation dose.

Moreover, these elements can be used to develop innovative solutions that can include remote monitoring. 

In this context, TECH implements a postgraduate diploma oriented to Research, Development and Innovation in the area of Artificial Intelligence. 
The curriculum will delve into aspects such as Computer Vision, Transfer Learning or Antagonistic Generative Networks.  In addition, the didactic materials will analyze in detail the Natural Language Processing, including advanced techniques such as Word Embedings, Transformersor Sentiment Analysis. The program will also provide the keys to the correct use of GTP Open AI, so that students will be able to generate coherent texts from a given input.  

Since this university program is taught completely online, students will enjoy a first-class educational experience without the need to travel to a study center. Similarly, students will strengthen their knowledge through a library of multimedia resources, including case studies and interactive summaries.  On the other hand, TECH employs the revolutionary Relearning teaching system. Thanks to this, specialists will enjoy a natural and progressive learning. 

Tackle Transfer Learning at the world's best digital university according to Forbes" 

This postgraduate diploma in Smart Cities and Artificial Intelligence (AI) contains the most complete and up-to-date program on the market. The most important features include:

• Case studies presented by experts in Smart Cities and Artificial Intelligence
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used 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

Want to specialize in GTP Open AI? Get it with this university program in just 450 hours"  

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

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn 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 students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will master Transform Models and use them to translate texts in different languages accurately"

Thanks to the revolutionary Relearning methodology, you will enjoy a flexible and positive learning experience"

Thanks to this postgraduate diploma, graduates will gain a solid understanding of Smart Cities and Artificial Intelligence to broaden their professional horizons. Students will enrich their daily practice with new skills that will allow them to successfully manage the most advanced tools of Natural Language Processing. Likewise, professionals will master Computer Vision to identify and classify objects by images or videos. They will then be able to make the leap into a wide range of industries, ranging from cybersecurity to medicine and transportation.

You will delve into the area of Smart Cities to improve the quality of life of the population”

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 Digital City 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

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

• Develop specialized knowledge on NLP Natural Language Processing
• Identify NLU (Natural Language Understanding)
• Understanding the use of Word Embedings and examples using Word2vec
• Analyze Transformers
• Examine examples of various Applied Transformers
• Delve into the NLP/NLU field through common Case Studies

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 works and how 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 will specialize in Computer Vision to perform facial recognition and excel in fields such as Security"