You will skillfully handle the Data Capture Methods to make more informed and accurate decisions in real time, thanks to this Postgraduate certificate 100% online"

Industry 4.0 aims to turn companies into automated entities, maximizing business results in an efficient way. To this end, it is based on integrating new technologies into the value chain of business groups through Intelligent Systems. These models are designed to simulate, replicate or improve the human capacity to perform complex tasks that require intelligence.  These computer systems have a variety of applications, including methods for developing facial recognition, creating virtual assistants and optimizing computer-assisted medical diagnoses.

However, specialists need to stay at the forefront of this technological field to produce the most innovative solutions.

In this framework, TECH implements a Postgraduate certificate in Intelligent Systems that will raise the knowledge and practical skills of professionals to a higher horizon. To achieve this, the academic itinerary will delve into the reasoning process of an agent. In relation to this, the syllabus will emphasize the importance of knowledge representation through its roles. In turn, the program will equip graduates with state-of-the-art software for the creation of ontologies. This will enable professionals to develop intelligent applications that require understanding about knowledge in a specific domain (such as recommender systems). Training will also delve into the Semantic Web, which enables machines to understand the meaning of data and facilitates the retrieval of relevant information.

On the other hand, TECH has conceived a comprehensive university program supported by the unique Relearning learning methodology. This system will allow students to consolidate their understanding through the repetition of fundamental concepts. In this way, students will enjoy a progressive and natural learning process, without having to travel to educational centers in a totally online format. In this way, professionals will combine their academic studies with the rest of their daily activities or obligations.

Expand your knowledge from the comfort of your home and renew your knowledge with TECH, the largest online University in the world"  

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

• Development of case studies presented by experts in IT Engineering
• The graphic, schematic and practical contents with which it is conceived provide cutting- Therapeutics and practical information on those 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 delve into Semantic Reasoners, tools with which you will make logical inferences about the knowledge represented in the form of ontologies"

The program’s teaching staff includes professionals from the sector 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.  

A first class educational experience that will raise your professional horizons in Artificial Intelligence, an ever-expanding discipline in constant expansion"

You will enjoy immersive learning based on repetition, with natural and gradual learning throughout the curriculum"

With this Postgraduate certificate, students will achieve an exhaustive theoretical and practical knowledge about Intelligent Systems. The curriculum will address in detail the Architectures of Agents, allowing students to master them to design and execute automated models capable of interacting with their environment. Likewise, the syllabus will provide the keys for the construction of ontologies that improve the reasoning of the systems.  In line with this, the educational resources will delve into the use of the most effective software for the design of such data structures. In addition, the program will offer students advanced strategies aimed at the evaluation of knowledge representations.  

This university program gives you the opportunity to address real work scenarios in Intelligent systems, alongside the best experts in Artificial Intelligence”

Module 1. Intelligent Systems

1.1. Agents Theory

1.1.1. Concept History
1.1.2. Agent Definition
1.1.3. Agents in Artificial Intelligence
1.1.4. Agents in Software Engineering

1.2. Agent Architectures

1.2.1. The Reasoning Process of an Agent
1.2.2. Reactive Agents
1.2.3. Deductive Agents
1.2.4. Hybrid Agents
1.2.5. Comparison

1.3. Information and Knowledge

1.3.1. Difference between Data, Information and Knowledge
1.3.2. Data Quality Assessment
1.3.3. Data Collection Methods
1.3.4. Information Acquisition Methods
1.3.5. Knowledge Acquisition Methods

1.4. Knowledge Representation

1.4.1. The Importance of Knowledge Representation
1.4.2. Definition of Knowledge Representation According to Roles
1.4.3. Knowledge Representation Features

1.5. Ontologies

1.5.1. Introduction to Metadata
1.5.2. Philosophical Concept of Ontology
1.5.3. Computing Concept of Ontology
1.5.4. Domain Ontologies and Higher-Level Ontologies
1.5.5. Building an Ontology

1.6. Ontology Languages and Ontology Creation Software

1.6.1. Triple RDF, Turtle and N3
1.6.2. RDF Schema
1.6.3. OWL
1.6.4. SPARQL
1.6.5. Introduction to Ontology Creation Tools
1.6.6. Installing and Using Protégé

1.7. Semantic Web

1.7.1. Current and Future Status of the Semantic Web
1.7.2. Semantic Web Applications

1.8. Other Knowledge Representation Models

1.8.1. Vocabulary
1.8.2. Global Vision
1.8.3. Taxonomy
1.8.4. Thesauri
1.8.5. Folksonomy
1.8.6. Comparison
1.8.7. Mind Maps

1.9. Knowledge Representation Assessment and Integration

1.9.1. Zero-Order Logic
1.9.2. First-Order Logic
1.9.3. Descriptive Logic
1.9.4. Relationship between Different Types of Logic
1.9.5. Prolog: Programming Based on First-Order Logic

1.10. Semantic Reasoners, Knowledge-Based Systems and Expert Systems

1.10.1. Concept of Reasoner
1.10.2. Reasoner Applications
1.10.3. Knowledge-Based Systems
1.10.4. MYCIN: History of Expert Systems
1.10.5. Expert Systems Elements and Architecture
1.10.6. Creating Expert Systems

Make the most of this opportunity to surround yourself with expert professionals and learn from their work methodology"