Learn in depth the most successful methods to implement distributed and parallel systems in your most ambitious IT projects"

In both high-end enterprise and government environments at all levels, Parallel and Distributed Computing systems have revolutionized the way data is handled and the speed with which operations are managed. In both hardware and software, advances are so many and so fast that it is difficult for the computer scientist to keep up with them all.

This Postgraduate certificate was created with the premise of bringing together, in 10 topics, the main deployments of parallel and distributed architectures in recent years, as well as the numerous uses that have been given to them in sectors such as aviation or climate control. In this way, the computer scientist will learn about the most important advances in this area and understand the multitude of possible uses for them. This will result in a more enriching experience for the student, improving their possibilities of leading large-scale IT projects.

The format of the program is 100% online, which means that both face-to-face classes and fixed schedules have been eliminated. The computer scientist can download the entire syllabus from the first day, being able to choose the ideal time and place to study it, adapting it to their own pace and not the other way around.

Enroll today in this Postgraduate certificate and do not miss the opportunity to strengthen your skills in an IT field with a great future, requiring more and more qualified professionals"

The Postgraduate certificate in Parallel and Distributed Computing Applications contains the most complete and up-to-date scientific program on the market. The most important features include:

• The development of case studies presented by experts in Parallel and Distributed Computing
• The graphic, schematic, and eminently practical contents with which they are created, provide 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 for experts and individual reflection work
• Access to content from any fixed or portable device with an Internet connection

Join the world's largest online academic institution, with technical staff and faculty committed to making you an expert in Parallel and Distributed Computing"

The program’s teaching staff includes professionals from sector who contribute their work experience to this training 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 training programmed to train 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.

Learn about the most important success stories in industries as diverse as medicine and aviation, with topics entirely dedicated to them"

Take a decisive step in your career by specializing in the multiple uses and applications of Parallel and Distributed Computing"

In order to guarantee a more efficient and comprehensive study work for the student, TECH has incorporated the Relearning pedagogical methodology throughout all the contents of this program. This implies that the computer scientist will improve their understanding of Parallel and Distributed Computing Applications in a natural and progressive way, thus resulting in an effective alleviation of the program's teaching load.

Dig into the extensive in-depth videos, interactive summaries and supplemental readings provided for all topics covered"

Module 1. Parallel and Distributed Computing Applications

1.1. Parallel and Distributed Computing in Today's Applications

1.1.1. Hardware
1.1.2. Software
1.1.3. The Importance of Timing

1.2. Climate Climate Change

1.2.1. Climate Applications Data Sources
1.2.2. Climate Applications Data Volume
1.2.3. Climate Applications Real Time

1.3. GPU Parallel Computing

1.3.1. GPU Parallel Computing
1.3.2. GPUs vs. CPU Use of GPU
1.3.3. GPU Examples

1.4. Smart Grid Computing in Electrical Networks

1.4.1. Smart Grid
1.4.2. Conceptual Models Examples
1.4.3. Smart Grid Example

1.5. Distributed Motor Elasticsearch

1.5.1. Distributed Motor Elasticsearch
1.5.2. Architecture with Elasticsearch Examples:
1.5.3. Distributed Motor Case Uses

1.6. Big Data Framework

1.6.1. Big Data Framework
1.6.2. Architecture of Advanced Tools
1.6.3. Big Data in Distributed Computing

1.7. In-memory Database

1.7.1. In-memory Database
1.7.2. Redis solution Success Story
1.7.3. Deployment of In-Memory Database Solutions

1.8. Blockchain

1.8.1. Blockchain Architecture Components
1.8.2. Collaboration between Nodes and Consensus
1.8.3. Blockchain Solutions Implementations

1.9. Distributed Systems in Medicine

1.9.1. Architecture Components
1.9.2. Distributed Systems in Medicine Operation
1.9.3. Distributed Systems in Medicine Applications

1.10. Distributed Systems in the Aviation Sector

1.10.1. Design in Architecture
1.10.2. Distributed Systems in the Aviation Sector. Functionality of the Components
1.10.3. Distributed Systems in the Aviation Sector. Applications

Access a virtual classroom available 24 hours a day, with all the content you need to learn about the most effective and in-demand applications of Parallel and Distributed Computing"