Julia Programming Certification Training Course Overview

Julia is a programming language developed by researchers of MIT. It has been designed by keeping in mind the future of computing like: high-performance computing, parallel computing and machine learning. Usually with the help of programming a programmer tells the computer what to do, but now a days programming is not only about telling the computer what to do. There are some new areas of science which have recently emerged up, like machine learning, big data and AI. Special kind of programming is required in these fields and Julia is one such programming language. Julia is a perfect platform for the above technologies because it is one of the fastest language as well as fastest growing language today. Fields like machine learning and AI depends a lot on the performance and Julia fits much better in this because Julia code can run as fast as C code and sometimes even faster. In the past few years we have seen an exponential growth in the field of scientific computing which was done by some other good languages, but they may not have been the optimal languages for the task. Julia by contrast has been developed by keeping in mind the performance as prime factor for the above technologies. Some of the features of Julia are just in time compilation, interoperability with python C fortron, open source and cross platform.

 

Julia Programming (32 Hours) Download Course Contents

Live Virtual Classroom
Group Training 1150
02 - 05 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 09 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR) 1350
4 Hours
8 Hours
Week Days
Week End

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Special Solutions for Corporate Clients! Click here Hire Our Trainers! Click here

Request More Information

Course Prerequisites
  • Basic Understadning of Mathamatics and Programming .

A High Performance Language for Artificial Intelligecne and Machine learning.

  • It's easy to learn as the syntax is easy.
  • Good for scientific computing.
  • Good for multi-processing.
  • No special glue required to connect with other languages like C, fortron n python.

 

FAQ's


Yes, fee excludes local taxes.