This 100% online postgraduate diploma will allow you to code real-world problems through advanced algorithms and computer systems"

Intelligent Systems are undergoing a constant evolution, which opens a wide range of possibilities for society in general terms. For example, the implementation of Artificial Intelligence provides solutions in the field of medicine. These range from patient monitoring to assisting in clinical decision-making and the development of new drugs. This reflects the importance of professionals having a thorough knowledge of this subject in order to improve people's quality of life. Moreover, in order to carry out successful innovation processes, they need to be aware of the latest trends in this area of expertise and incorporate them into their practice.

For this reason, TECH launches a revolutionary program that will provide students with an integral prism that merges Machine Learning with Knowledge Engineering. To this end, the academic itinerary will delve into both Agent Theory and Neuron Networks. In this way, students will learn the most effective methods for the integration of knowledge representations, starting from the relationship between the different types of logic. On the other hand, this program will focus on Computational Perception so that graduates will be able to handle programming languages adequately.

To consolidate all these contents, TECH is based on the innovative  Relearning system. This teaching method is based on the repetition of key contents, to guarantee a progressive and natural learning process.  In addition, the only thing graduates will need is a device with Internet access to access the study materials remotely, at the time or place of their choice. In addition, the Virtual Campus will be available at all times and will allow users to download the contents so that they can consult them whenever they wis h.  

Master the software agents according to JADE in the best digital university in the world according to Forbes"  

This postgraduate diploma in Intelligent Systems contains the most complete and up-to-date program on the market. The most important features include:

• Development of 100 simulated scenarios presented by experts in Intelligent Systems Science
• The graphic, schematic and practical contents with which they are conceived provide scientific and practical information on Intelligent Systems.
• News on the latest developments in Intelligent Systems.
• It contains practical exercises where the self-assessment process can be carried out to improve learning
• Interactive learning system based on the case method and its application to real practice.
• All of this will be complemented by 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 master the Protégé software to efficiently create, edit and visualize ontologies"

The program includes in its teaching staff, professionals from the sector who pour into this program the experience of their work, in addition to recognized specialists from prestigious reference societies and 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.  

Elevate your professional potential within the world of Knowledge Engineering thanks to the innovative resources provided by this program"

With the innovative Relearning methodology, you will assimilate all the knowledge to obtain the results you are looking for and make a leap in your professional career"

Through 450 hours of learning, graduates will be characterized by having a comprehensive knowledge of Intelligent Systems.  The professionals will acquire advanced competences to incorporate in their projects advanced methods belonging to Machine Learning and Knowledge Engineering, being an example the Monte Carlo simulation. In addition, they will master Computational Perception to handle different programming languages, among which JADE stands out. In this way, the experts will be qualified to design and execute cutting-edge solutions in a technological field that offers multiple job opportunities. 

With the most highly valued means of study in online teaching, this program will have a great impact on your professional growth”

General Objectives

• Prepare scientifically and technologically, as well as to develop the professional practice of IT engineering, with a transversal and versatile approach adapted to the new technologies and innovations in this field
• Obtain wide knowledge in the field of IT engineering, structure of computers and Software Engineering, including the mathematical, statistical and physical basis which is essential in engineering

Specific Objectives

Module 1. Intelligent Systems

• Learn all the concepts related to agent theory and agent architecture and its reasoning process
• Assimilate the Theory and Practice behind the Concepts of Information and Knowledge, as well as the different ways of Representing Knowledge
• Understand the theory related to ontologies, as well as learn ontology languages and software for ontology creation
• Learn different models of knowledge representation, such as vocabularies, taxonomies, thesauri and mind maps among others
• Understand the functioning of semantic reasoners, knowledge-based systems and expert systems
• Know how the semantic web works, its current and future state, as well as semantic web-based applications

Module 2. Artificial Intelligence and Knowledge Engineering

• Lay the foundations of artificial intelligence and knowledge engineering, making a brief tour through the history of artificial intelligence up to the present day
• Understand the essential concepts of search in artificial intelligence, both informed and uninformed search
• Understand how artificial intelligence works in games
• Learn the fundamental concepts of neural networks and the use of genetic algorithms
• Acquire the appropriate mechanisms to represent knowledge, especially taking into account the semantic web
• Understand the functioning of expert systems and decision support systems

Module 3. Multiagent Systems and Computational Perception

• Understand the basic and advanced concepts related to agents and multi-agent systems
• Study the FIPA agent standard, considering agent communication, agent management and architecture, among other issues
• Further study the JADE platform (Java Agent Development Framework), learning to program in it both basic and advanced concepts, including communication and agent discovery topics
• Lay the foundations of natural language processing, such as automatic speech recognition and computational linguistics

A program that brings you closer to the next challenges in Multiagent Systems and Computational Perception"