Artificial Intelligence is constantly evolving! Thanks to this online Postgraduate certificate, you will take advantage of its opportunities and develop innovative solutions to address real-world challenges"

Digital Transformation and Industry 4.0 have caused Artificial Intelligence to have a direct impact on Systems and Computer Engineering. Both subjects complement each other to offer numerous opportunities in a variety of employment sectors. Among its advantages is its ability to automate processes. In this regard, these tools help to improve factors such as efficiency and productivity. For example, they can mechanize software development tasks, software testing, information systems management, among others. In addition, data analysis is essential to understand the performance of models and make highly informed decisions. 

In this context, TECH implements a complete program in Artificial Intelligence in Systems Engineering and Computer Science. Designed by experts in these disciplines, the curriculum will delve into the management of the most effective tools of Deep Learning, Machine Learning and Natural Language Processing. Students will be able to incorporate them immediately into their practice to optimize their projects. At the same time, the syllabus will delve into Neural Networks in order to develop advanced learning algorithms. In addition, the program will examine Robotic Process Automation to ensure efficient process automation. Throughout the academic itinerary, the didactic materials will consider the ethical implications of Artificial Intelligence for professionals to use it in a responsible way for all parties involved. 

It should be noted that the Postgraduate certificate is supported by the innovative Relearning methodology, based on the gradual reiteration of concepts throughout the syllabus. In addition, the academic contents will be taught by a renowned faculty, which masters all the complexities of Artificial Intelligence in Systems Engineering and Computer Science. Moreover, students will not have to worry about rigid academic schedules or having to travel to any study center, since the program has a 100% online format.  

You will handle Machine Learning through 150 hours of the best digital teaching. Bet on TECH!”

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 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 the Data Ingestion process and be able to improve the training of your models”

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

With this university program, you will enjoy a learning system based on repetition. You will have a totally natural and progressive teaching!"

You will draw productive lessons from the analysis of real cases in simulated learning environments"

This Postgraduate certificate will provide students with a holistic view of Artificial Intelligence in Computer and Systems Engineering. The program will address the relevance of data, examining aspects such as the Ingestion or Profiling of this information. Likewise, the syllabus will delve into Robotic Process Automation so that graduates can automate repetitive and rule-based tasks within business processes. In line with this, the didactic materials will also focus on Machine Learning, Natural Language Processing and Image Recognition. In this way, students will master the life cycle of Artificial Intelligence models. 

A syllabus developed by experts and teaching content of the highest level are the key to a successful professional career"    

Module 1. Artificial Intelligence in Systems Engineering and Computer Science

1.1. Artificial Intelligence

1.1.1. Intelligence in Systems Engineering
1.1.2. Artificial Intelligence
1.1.3. Artificial Intelligence. Advanced Concepts

1.2. Importance of Data

1.2.1. Data Ingestion
1.2.2. Analysis and Profiling
1.2.3. Data Refinement

1.3. Machine Learning in Artificial Intelligence

1.3.1. Machine Learning
1.3.2. Supervised Learning
1.3.3. Unsupervised Learning

1.4. Machine Learning in Artificial Intelligence

1.4.1. Deep Learning vs. Machine Learning
1.4.2. Neural Networks

1.5. Robotic Process Automation (RPA) in Artificial Intelligence

1.5.1. RPA in Artificial Intelligence
1.5.2. Process Automation. Good Practices
1.5.3. Process Automation. Continuing Improvement

1.6. Natural Language Processing (NLP) in Artificial Intelligence

1.6.1. NLP in Artificial Intelligence
1.6.2. NPL Applied to Software
1.6.3. NLP. Application

1.7. Image Recognition in Artificial Intelligence

1.7.1. Models
1.7.2. Algorithms
1.7.3. Applications

1.8. Neural Networks in Artificial Intelligence

1.8.1. Models
1.8.2. Learning Algorithms
1.8.3. Applications of Neural Networks in Artificial Intelligence

1.9. Artificial Intelligence (AI) Model Life Cycle

1.9.1. Development of the Artificial Intelligence Model
1.9.2. Education
1.9.3. Putting into Production

1.10. New Application of Artificial Intelligence

1.10.1. Ethics in IA systems
1.10.2. Bias Detection
1.10.3. New Artificial Intelligence Applications

Thanks to the most efficient teaching methodology, you will be able to acquire new knowledge in a precise way and in only 150 hours"