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 Postgraduate certificate will provide students with a solid foundation in the fundamental concepts, techniques and applications of Artificial Intelligence. To this end, the academic itinerary will cover from the search stage to the different types of algorithms. At the same time, the syllabus will provide students with advanced approaches, among which Planning as Heuristic Search stands out. In this way, professionals will find efficient solutions to programming problems in complex or dynamic environments. The academic contents will also offer guidelines for knowledge representation in the Semantic Web, to improve data interoperability.

This program gives you the opportunity to update your knowledge in a real scenario, with the maximum scientific rigor of an institution at the forefront of technology as TECH"

Module 1. Artificial Intelligence and Knowledge Engineering

1.1. Introduction to Artificial Intelligence and Knowledge Engineering

1.1.1. Brief History of Artificial Intelligence
1.1.2. Artificial Intelligence Today
1.1.3. Knowledge Engineering

1.2. Searching

1.2.1. Common Search Concepts
1.2.2. Uninformed Search
1.2.3. Informed Search

1.3. Boolean Satisfiability, Constraint Satisfiability and Automatic Planning

1.3.1. Boolean Satisfiability
1.3.2. Constraint Satisfiability Problems
1.3.3. Automatic Planning and PDDL
1.3.4. Planning as Heuristic Search
1.3.5. Planning with SAT

1.4. Artificial Intelligence in Games

1.4.1. Game Theory
1.4.2. Minimax and Alpha-Beta Pruning
1.4.3. Simulation:: Monte Carlo

1.5. Supervised and Unsupervised Learning

1.5.1. Introduction to Machine Learning
1.5.2. Classification
1.5.3. Regression
1.5.4. Validation of Results
1.5.5. Clustering

1.6. Neural Networks

1.6.1. Biological Fundamentals
1.6.2. Computational Models
1.6.3. Supervised and Unsupervised Neuron Networks
1.6.4. Simple Perceptron
1.6.5. Multilayer Perceptron

1.7. Genetic Algorithms

1.7.1. History
1.7.2. Biological Fundamentals
1.7.3. Problem Coding
1.7.4. Generation of the Initial Population
1.7.5. Main Algorithm and Genetic Operators
1.7.6. Evaluation of Individuals: Fitness

1.8. Thesauri, Vocabularies, Taxonomies

1.8.1. Vocabulary
1.8.2. Taxonomy
1.8.3. Thesauri
1.8.4. Ontologies

1.9. Knowledge Representation Semantic Web

1.9.1. Semantic Web
1.9.2. Specifications: RDF, RDFS and OWL
1.9.3. Inference/ Reasoning
1.9.4. Linked Data

1.10. Expert systems and DSS

1.10.1. Expert Systems
1.10.2. Decision Support Systems

With this university program, you will customize your learning process according to your needs, circumstances and schedule. Enroll now!”