You will master Genetic Algorithms and you will stand out professionally by offering optimal solutions to complex problems thanks to this postgraduate certificatebased on Relearning"

The Artificial Intelligence sector has a myriad of applications in booming industries, such as video games. Intelligent systems have the ability to develop advanced algorithms to design characters with human-like behaviors and abilities. In this context, Game Theory focuses on the strategic behavior and decisions made by different rational agents in interaction situations. In this way, professionals are able to improve the experience of games and develop more rewarding mechanics for users. 

Faced with this reality, TECH creates a pioneering program in Introduction to Artificial Intelligence. The curriculum will thoroughly examine the fundamental principles of this branch, such as Supervised Learning or Genetic Algorithms. In this way, students will effectively apply these concepts to their practical projects. Likewise, the syllabus will delve into Neural Networks, a computational model that allows machines to learn and perform complex tasks through the synaptic connections of the human brain. In addition, the program will delve into the use of thesauri, vocabularies and taxonomies to classify knowledge and optimize the processing of Artificial Intelligence systems.

On the other hand, the program is delivered in a 100% online methodology. Therefore, students will be able to embark on their learning process at any time of the day with the benefit of flexible scheduling. The only thing students will need is an electronic device with Internet access to access the virtual platform. Along the same lines, TECH applies the innovative Relearning teaching system in all its programs. Consisting of the progressive reiteration of the most relevant aspects of academic content, this method ensures that students expand their knowledge in a progressive and natural way. 

You will delve into game theory to model and analyze the strategic interaction between rational agents in a variety of competitive situations"

This postgraduate certificate in Introduction to Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence
• The graphic, schematic, and practical contents with which they are created, provide scientific 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 in Artificial Intelligence
• 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

Are you looking to specialize in the field of Machine Learning? Achieve it with this university program in only 150 hours"

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. 

You will have at your disposal the most advanced and effective strategies for tackling problems such as constraint satisfiability"

A study plan based on the revolutionary Relearning methodology, which will allow you to consolidate complex concepts with efficiency and dynamism"

This university program will provide experts with a comprehensive view of Artificial Intelligence. Upon completion, students will have developed practical skills in the world of programming through the implementation of algorithms and Machine Learning techniques in their projects. Likewise, graduates will incorporate into their daily practice the Monte Carlo statistical technique to simulate the behavior of systems, based on random methods such as sampling. In addition, they will have the most innovative tools to represent knowledge, especially taking into account the Semantic Web. 

A professional growth process that will provide you with the skills of a true Artificial Intelligence expert. You will compete with the best in the industry!"

General Objectives

• Prepare scientifically and technologically, as well as to develop the professional practice of Intelligent Systems, with a transversal and versatile approach adapted to the new technologies and innovations in this field
• Specialize students in the use of cutting-edge tools and techniques in the field of Artificial Intelligence and intelligent systems, including the mastery of relevant programming languages
• Develop problem solving and critical thinking skills, to evaluate different approaches in the design and implementation of Intelligent Systems
• Stimulate creativity and innovation in both the design and development of Intelligent Systems, promoting new ideas and approaches to address challenges in the field of Artificial Intelligence

Specific Objectives

• 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

6 weeks of stimulating learning that will take you to the next level in Knowledge Engineering"