A university program that will allow you to design a robotic agent controlled by Artificial Intelligence”

Thirty years ago Artificial Intelligence was reserved for science fiction, however, today it is the present and more and more different economic sectors are benefiting from its technological advances. A progress that also contributes to society. All this would not be possible without the work of professional engineers who have managed to create systems capable of learning from the environment, finding a solution or adapting to a changing environment.

This Postgraduate certificate provides students with advanced knowledge in the complex algorithms of AI, essential to understand the mathematical and conceptual basis on which this technology is based. A program that will allow the engineering professional to delve into the logical and mathematical foundations of reasoning and learning that have allowed the development of algorithms for path finding, artificial vision, language processing or robot control. 

A program with an advanced theoretical framework, but with an eminently practical approach that will allow students through the use of real cases the direct application of all the learning acquired. This will be possible thanks to the specialized teaching team that delivers this program. 

An excellent opportunity for engineering professionals who aspire to improve their professional career with a 100% online program. A flexible teaching method that will allow you to take this program while balancing your professional and/or personal responsibilities. All this, in addition to multimedia content that you can access from the first day whenever and wherever you want. You will only need an electronic device with an Internet connection to enter the online platform and start advancing in a booming sector.

Access a university program that provides you with the most up-to-date multimedia content in AI and Intelligent Agents”

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

• Case studies presented by experts in robotic engineering
• 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 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

An education that will allow you to master the main professional tools for the implementation of the intelligent agent”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational 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, students will be assisted by an innovative, interactive video system created by renowned and experienced experts.

Master Deep Learning thanks to this Postgraduate certificate. You are just one click away from improving your professional career. Enroll now”

This university program allows you to delve into supervised, unsupervised and automatic learning”

The syllabus of this Postgraduate certificate is designed with the aim of offering students the most comprehensive knowledge in intelligent robots and intelligent agents. A teaching that will delve from the beginning in the foundation that makes up this technology to delve during 6 weeks of this program in the brain-algorithm connection, its applications, machine learning to lead the engineering professional to develop a Robotic Intelligent Agent. The video summaries of each topic, the specialized readings and the real cases provided by the teaching team will facilitate the learning and the practical application in the professional's day-to-day life.

Advance your career and immerse yourself in Intelligence and its application in robots and softbots”

Module 1. Intelligent Agents. Applying Artificial Intelligence to Robots and Softbots

1.1. Intelligent Agents and Artificial Intelligence

1.1.1. Intelligent Robots. Artificial Intelligence
1.1.2. Intelligent Agents

1.1.2.1. Hardware Agents. Robots
1.1.2.2. Software Agents. Softbots

1.1.3. Robotics Applications

1.2. Brain-Algorithm Connection

1.2.1. Biological Inspiration of Artificial Intelligence 
1.2.2. Reasoning Implemented in Algorithms. Typology
1.2.3. Explainability of Results in Artificial Intelligence Algorithms
1.2.4. Evolution of Algorithms up to Deep Learning

1.3. Search Algorithms in the Solution Space

1.3.1. Elements in Solution Space Searches
1.3.2. Solution Space Search Algorithms in Artificial Intelligence Problems
1.3.3. Applications of Search and Optimization Algorithms
1.3.4. Search Algorithms Applied to Machine Learning

1.4. Machine Learning 

1.4.1. Machine Learning
1.4.2. Supervised Learning Algorithms
1.4.3. Unsupervised Learning Algorithms
1.4.4. Reinforcement Learning Algorithms

1.5. Supervised Learning

1.5.1. Supervised Learning Methods 
1.5.2. Decision Trees for Classification
1.5.3. Support Vector Machines
1.5.4. Artificial Neural Networks
1.5.5. Applications of Supervised Learning

1.6. Unsupervised Learning 

1.6.1. Unsupervised Learning
1.6.2. Kohonen Networks
1.6.3. Self-Organizing Maps
1.6.4. K-Means Algorithm

1.7. Reinforcement Learning 

1.7.1. Reinforcement Learning
1.7.2. Agents Based on Markov Processes
1.7.3. Reinforcement Learning Algorithms
1.7.4. Reinforcement Learning Applied to Robotics

1.8. Artificial Neural Networks and Deep Learning 

1.8.1. Artificial Neural Networks. Typology
1.8.2. Applications of Neural Networks
1.8.3. Transformation from Machine Learning to Deep Learning
1.8.4. Deep Learning Applications

1.9. Probabilistic Inference

1.9.1. Probabilistic Inference
1.9.2. Types of Inference and Method Definition
1.9.3. Bayesian Inference as a Case Study
1.9.4. Nonparametric Inference Techniques
1.9.5. Gaussian Filters

1.10. From Theory to Practice: Developing a Robotic Intelligent Agent 

1.10.1. Inclusion of Supervised Learning Modules in a Robotic Agent
1.10.2. Inclusion of Reinforcement Learning Modules in a Robotic Agent
1.10.3. Architecture of a Robotic Agent Controlled by Artificial Intelligence
1.10.4. Professional Tools for the Implementation of the Intelligent Agent
1.10.5. Phases of the Implementation of AI Algorithms in Robotic Agents

Enroll now and apply the latest algorithmic advances in Artificial Intelligence projects”