The possibilities of Deep Learning are endless. This program will analyze their current characteristics in order to anticipate future developments" 

Machine Learning is sometimes so widespread that it is difficult to identify it. This is the case of YouTube or Netflix recommendation systems. Certain data generated by the user's own interaction on the platform are taken, compared with those of other users with similar characteristics, and a product is offered that is a priori interesting for the user. This technique has reached its maximum exponent in TikTok, where a debate has been generated around the algorithm due to its high level of accuracy. 

To approach the subject of AI from an objective point of view, we will begin by explaining how it works and how it manages data. As well as Machine Learning, Deep Learning and a comparison between the two. 

Next, Robotic Process Automation (RPA) will be defined for the automation of processes that replicate human actions through the interface of a computer system. And Natural Language Processing (NLP), to study the interactions between computers and human language. 

Finally, in terms of AI, we will delve into image recognition, the application of neural networks, their life cycles and the possibilities of new applications, with emphasis on the ethics of the systems and the detection of biases. 

All this, through an online modality, without schedules and with the syllabus available in its entirety from the first day. All you need is a device with Internet access. In this way, the students will be able to organize themselves according to their circumstances, therefore favoring learning.  

With TECH, you will learn to identify the differences between supervised learning and unsupervised learning in Machine Learning" 

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

• The development of practical cases presented by experts in Artificial Intelligence in Systems Engineering and Computer Science
• 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

Throughout the postgraduate certificate you will learn the keys to Robotic Process Automation, a process automation that is often applied to the help chats of web pages" 

The program’s teaching staff includes professionals from 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, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

With TECH, you will work with algorithms used in image recognition with Artificial Intelligence"

Ethics is one of the main barriers to the progress of AI. In TECH we explain what the red lines are"

Upon completion of the postgraduate certificate in Artificial Intelligence in Systems Engineering and Computer Science, the student will be prepared to generate specific knowledge about AI. They will control advanced techniques of intelligent systems and will know how to apply them in a practical way. They will be able to design automatic reasoning systems and implement them in prediction problems. 

Thanks to TECH, you will be able to identify the different neural network models and their respective learning algorithms” 

General Objectives

• Generate specialized knowledge on Artificial Intelligence 
• Identify which type of learning (supervised or unsupervised) is most appropriate for a given problem 
• Identify the characteristics of an intelligent system/ agent 

Specific Objectives

• Generate specialized knowledge on the application and advanced techniques of intelligent systems and their practical application
• Formalize and design automatic reasoning systems
• Implement and apply machine learning techniques in prediction problems
• Generate specialized knowledge on artificial intelligence

This program covers the steps that an Artificial Intelligence has to take from the moment it is conceived until it is put into production”