postgraduate diploma Distributed Computing

Without the existence of so-called distributed computing systems, it would be impossible to understand technologies such as big data or an infinite number of existing Internet services. Advances in inter-process communication, cryptographic security, and distributed transactions have enabled unprecedented data replication, establishing an undeniable evolutionary framework for all computer scientists. During this diploma, you will extensively analyze various programming models focused on Distributed Computing, offering a distinct perspective that encompasses both theoretical foundations and a wide array of practical applications. The teaching team has made significant efforts to design a comprehensive and thorough program that will greatly propel the career path of computer scientists.

University certificate

duration

24 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

financing up to

6 months

Price

$543,360

The world's largest faculty of information technology”

Description

Take a step forward with this postgraduate diploma in Distributed Computing and delve into the most cutting-edge techniques in computer science”

When discussing the widespread use of smartphones in daily life or the introduction of 5G as the new communication standard, a new realm of possibilities is emerging for computer scientists proficient in Distributed Computing. As time progresses, the degrees of processing and processing speed will continue to increase, which emphasizes the need for computer professionals to be adequately prepared to program at a higher level.

Indeed, this postgraduate diploma is designed to provide computer professionals with the necessary knowledge and skills in the field of Distributed Computing. Students will receive a comprehensive education in everything related to Distributed Computing, tailored to the demands of today's market, thanks to a teaching team with extensive experience in managing and directing IT projects of this type.

In addition, the degree is offered as a fully online program, making it convenient to integrate with other personal or professional commitments. There are no in-person classes or set schedules; instead, computer scientists have the freedom to download the entire syllabus and allocate their study hours according to their own preferences.

Achieve a significant promotion in your professional career by showcasing your advanced programming and distributed management skills through postgraduate diploma”

This postgraduate diploma in Distributed Computing contains the most complete and up-to-date program on the market. The most important features include:

The program includes the development of case studies presented by experts in Parallel and Distributed Computing
The program is designed with graphical, schematic, and highly practical content, which gathers essential information about disciplines that are crucial for the professional practice
Practical exercises where self-assessment can be used to improve learning
Its special emphasis on innovative methodologies
The program incorporates theoretical lessons, interactive question-and-answer sessions with experts, and individual reflection assignments
Content that is accessible from any fixed or portable device with an Internet connection

Gain valuable tips and insights from highly successful professionals who have been leaders in international development projects”

The teaching staff of the program consists of professionals from the industry who bring their valuable work experience to the table. Additionally, renowned specialists from leading societies and prestigious universities contribute their expertise to enrich the program.

The program's multimedia content, created using state-of-the-art educational technology, enables professionals to learn in a contextual and situated learning environment. This simulated environment offers immersive education specifically designed to prepare individuals for real-world situations.

The program's design emphasizes Problem-Based Learning, requiring professionals to actively solve various real-world practice situations that are presented to them throughout the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

The program's design emphasizes Problem-Based Learning, requiring professionals to actively solve various real-world practice situations that are presented to them throughout the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts"

TECH will provide you with the support and resources you need to achieve your most ambitious professional goals"

Objectives

The main objective of this program is to offer a comprehensive study of advanced Distributed Computing, providing computer scientists with the necessary impetus to achieve significant professional advancement. This is achieved through the extensive experience of the teaching staff, who have also contributed their practical insights to the educational materials, laying the foundation for the program's knowledge in today's market.

You will achieve your most ambitious professional updating goals thanks to TECH's advanced teaching methodology”

General Objectives

Analyze what happens between the different components of Parallel and Distributed Computing
Measure and compare their efficiency to analyze the performance of the set of components used
Conduct a thorough analysis of multi-platform parallel computing to leverage task-level parallelism across different hardware accelerators
Analyze in detail current software and architectures
Develop in depth the relevant aspects of Parallel and Distributed Computing
Specialize the student in the use of Parallel and Distributed Computing in different sectors

Specific Objectives

Module 1. Distributed Systems in Computing

Develop the key elements of a Distributed System
Examine the security elements applied in Distributed Systems and their necessity
Present the different types of Distributed Systems most commonly used, characteristics, functionalities and the problems to be solved
Demonstrate the applicability of the CAP Theory to Distributed Systems. Consistency, Availability and Partition Tolerance

Module 2. Models and Formal Semantics. Programming oriented to distributed computing

Identify the benefits of formal semantics
Examine how formal semantics assists in programming for distributed computing
Specify the possibilities of applying formal semantics to programming for distributed computing
Delve into the main tools that determine the feasibility of projects utilizing this technology
Identify programming languages in the semantic model
Determine how these semantic models help us with programming languages
Evaluate and compare computing models
Specify the concrete applications of distributed models
Introduce the most advanced market tools for projects

Module 3. Parallel and Distributed Computing Applications

Demonstrate the great contribution of Parallel and Distributed Computing applications to our environment
Identify the reference architectures available in market
Evaluate the benefits of these practical applications
Present successful solutions in the market
Demonstrate why it is important for assessing climate change
Determine the current importance of GPUs
Present the impact of this technology on power grids
Explore distributed engines to serve our customers
Learn about the benefits of distributed computing to bring advantages to our companies
Present examples of In-Memory Databases and their importance
Examine how these models help medicine

You will be supported by a dedicated technical and teaching staff who are committed to your success and ready to answer any questions you may have”

Postgraduate Diploma in Distributed Computing.

Distributed computing is a field of computer science that focuses on the use of multiple interconnected computing systems to work together as if they were a single entity. In distributed computing, the resources of interconnected computing systems, such as processing, storage, and memory, are used together to perform specific tasks.

The development of distributed computing involves the use of techniques to coordinate and manage the resources of interconnected systems. Distributed systems use communication protocols to coordinate data exchange, control access to resources, and manage load balancing between different systems.

Applications that use distributed computing.

Web search: search engines use distributed computing to index and search for information on the web.

Scientific research: scientists use distributed computing to handle large data sets and process complex simulations.

Social networking: social networking systems use distributed computing to support large numbers of users and handle large amounts of information.

To develop distributed computing applications, it is necessary to have a wide knowledge of the fundamental principles of distributed computing. This includes knowledge of communication protocols such as TCP and UDP, distributed system architectures, distributed storage systems such as Hadoop, and distributed database systems. Experience in programming languages such as Java, Python, C++ and Ruby, which are commonly used in distributed computing application development, as well as tools and technologies specific to different distributed systems, such as Apache Spark and Kafka for Apache Hadoop, is also required.

Distributed computing is a field of computer science that focuses on the use of multiple interconnected systems to work together as if they were a single entity. The development of distributed computing involves the use of techniques to coordinate and manage the resources of interconnected systems, and requires knowledge in communication protocols, distributed system architectures, programming languages and tools specific to different distributed systems.