Distribution dispatcher education requirements

1. Electrical Power Distribution

This is an application-oriented course explaining the various aspects of power distribution, indoor and outdoor equipment up to 33kV. The course adopts a cross-disciplinary approach to ensure that the learners understand site execution, testing and commissioning. Throughout the course, safety aspects have been emphasized in every area of work. This course blends with conceptual knowledge covering the latest technological trends like SCADA & automation. This course helps learners know the...

2. A Practitioner's Approach to Power Distribution & Automation

Our specialization is a blend of basic and emerging technology in the power distribution sector through two unique courses. First course is Electrical Power Distribution wherein we deal from concept to commissioning level, give exposure to the learners statutory regulations, the different distribution equipment like distribution transformers, pole mounted substation, auto reclosure, sectionlizers, Compact Substation, Ring Main unit. Today we are moving more of digitalization and our...

3. Distributed Systems & Cloud Computing with Java

4.7

(2,569)

Learn Distributed Java Applications at Scale, Parallel Programming, Distributed Computing & Cloud Software Architecture...

4. Electrical Low Voltage System Distribution Design

4.6

(421)

Design of Power & Lighting Distribution System using Auto CAD, DIALux, & Low Voltage Calculations Using Excel Sheets...

5. Distributed Computing with Spark SQL

This course is all about big data. It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain a thorough understanding of this open-source standard for working with large datasets. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments. The...

6. Distributed Programming in Java

This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8. Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications. By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets,...

7. Electrical Power Distribution With,AutoCAD,Excel,DIALUX,Etap

4.3

(438)

A Practical Complete Guide for Designing Electrical Low Voltage Distribution Systems with Excel ,Dia LUX , Auto CAD & ETAP...

8. Distribution Power Engineering Fundamentals

4

(399)

Learn all about the Power Distribution System and how to design it!...

9. Parallel, Concurrent, and Distributed Programming in Java

Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and...

10. Hotel Management: Distribution, Revenue and Demand Management

Market hospitality services, manage demand, and optimize revenue.\n\nThis Specialization covers the basics of hotel demand management, distribution, and revenue management. You’ll learn how e-commerce intermediaries such as online travel agencies are impacting the already-complex hospitality sector, and you’ll explore tools and techniques that will help you effectively market hospitality services and maximize business revenue in this new global industry landscape. In the final Capstone Project,...

11. Computer Hardware, Operating System and Networking

4.1

(314)

For Any Graduates/Engineering/Diploma/Arts & Science/Freshers/Home Users/Individuals/Desktop Support/FM/Service Engineer...

12. Operating Systems Final Part (4): File Systems & Threads

4.6

(518)

Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

13. Distributed Load Testing Using Kubernetes

This is a self-paced lab that takes place in the Google Cloud console. Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services...

14. Distributed Multi-worker TensorFlow Training on Kubernetes

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will explore using Google Cloud Kubernetes Engine and Kubeflow TFJob to scale out TensorFlow distributed training...

15. Operating Systems from scratch - Part 2

4.7

(1,078)

Learn memory management in operating systems as operating system forms the core of computer science...

16. Electrical Control & Protection Systems

4.6

(1,763)

This course introduces electrical control & protection systems which are a critical part of any electrical substation...

17. Energy Production, Distribution & Safety

This specialization provides introductory knowledge about the energy industry and associated career opportunities, whether you are interested in a utility technician or utility worker role, or emerging green energy solutions. It is intended for those considering a career in the field, and people already working in the industry who have less than three years of experience and have not completed similar training. Through four courses, learners receive an overview of electric power systems,...

18. Cloud Computing Concepts, Part 1

Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these...

19. Electrical Power Distribution with AUTOCAD, DIALux & Etap

4

(704)

The easiest way to become a Pro Designer in Electrical Power Systems using DIALux from scratch!...