Julia Computing provides online and in-person training that can be customized to meet your needs including Intro to Julia, Artificial Intelligence and Machine Learning in Julia, Intermediate and Advanced Julia, Optimization in Julia with JuMP and more. Our courses have been developed by MIT Professor Alan Edelman together with other highly qualified professors, PhDs and other instructors who teach Julia to corporate data scientists, post-graduate students, undergraduates and other analysts, programmers, researchers and scientists.
Each class is 8 hours of instruction: four hours per day for two consecutive days. All Julia Computing courses are created and taught by Julia Computing’s highly qualified professors, PhDs and instructors including Alan Edelman, MIT Professor of Applied Mathematics at MIT, Co-Creator of Julia, Co-Founder and Chief Scientist at Julia Computing and Director of the Julia Lab at MIT.
|DATE & TIME||DESCRIPTION||PRICING||REGISTER|
|28-29 Jan 2019|8:00AM - 12:00PM EST||Introduction to Julia||US$250.00||Register|
|4-5 Feb 2019|8:00AM - 12:00PM EST||Introduction to Machine Learning and Artificial Intelligence||US$500.00||Register|
|11-12 Feb 2019|8:00AM - 12:00PM EST||Parallel Computing in Julia||US$500.00||Register|
|19-20 Feb 2019|8:00AM - 12:00PM EST||Introduction to Julia||US$250.00||Register|
|25-26 Feb 2019|8:00AM - 12:00PM EST||Introduction to Machine Learning and Artificial Intelligence||US$500.00||Register|
|4-5 Mar 2019|8:00AM - 12:00PM EST||Parallel Computing in Julia||US$500.00||Register|
Each training can be customized to meet your needs. For example, we can use datasets, examples and case studies from your business or industry, we can modify the length and material covered, and we can modify the mode of instruction - online, in-person, or even a combination, based on your requirements.
Most of our trainings use JuliaBox, the free online Julia Computing platform for teaching, learning and using Julia from your Web browser in a Jupyter notebook with no download required. Paid versions of JuliaBox are also available for larger classes or enterprise applications including additional memory, support and distributed, parallel and multi-node capabilities.
We have four curated training programs:
|Basic and Intermediate||Intro to Julia: Basic and Intermediate||Contact us|
|Advanced||Advanced Julia||Contact us|
|ML Specific||Artificial Intelligence and Machine Learning in Julia||Contact us|
|Youtube||Online Intro to Julia tutorial||Free of cost|
Our Julia experts conduct this three day workshop providing a hands-on in-depth exploration of the Julia language.
The course curriculum is designed with the objective of enabling beginner level programmers in getting up to speed with Julia, while also helping advanced programmers progress towards building highly successful applications using Julia.
The course introduces Julia language by covering topics like basic Julian syntax, efficient development setup, type system and multiple dispatch which makes Julia perform at C/Fortran speeds while still providing features of a high level language, and then moves on to more advanced topics like metaprogramming. The audience is expected to have basic understanding of high school math and basics of computer science.
For more information including pricing to organize this training at your organization or institution, contact us at [email protected].
The advanced training program is entirely customizable. With a hand-picked combination of basic, intermediate and advanced topics, these modules are tailored to your organization’s needs, including the number of days you want the workshop for.
This is a specially designed 5 day workshop that provides a thorough introduction to Computational Machine Learning and Artificial Intelligence using Julia.
The training covers introduction to Julia, vector and array operations in Julia, followed by introductory machine learning techniques and applications. The course then takes a deep dive into introducing concepts of neural networks. This section involves engaging the learner with all sorts of AI applications, including handwriting recognition, object detection, language modeling and text generation.
The last day of the workshop proactively involves each and every student in building an application in Julia from scratch, with the students assuredly walking away feeling comfortable with machine learning and its underlying algorithms.
Intro to Julia is a two-hour free online tutorial hosted monthly by Jane Herriman, Julia Computing’s Director of Diversity and Outreach. For the next scheduled training, please visit the Learn Julia Facebook page.
Other free online Julia tutorials can be found by subscribing to the Julia language YouTube channel or visiting the Learn Julia Facebook page