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Academy

  • Machine Learning Engineer Skills Required
  • Front End Technologies: Environment
  • Front End Technologies: Demo Frontend
  • Front End Technologies: Demo API
  • Setting Up Ubuntu
  • PostgreSQL Setup
  • REDIS
  • Privacy Policy
  • Loading Data into PostgreSQL & Redis
  • Python Setup
  • Python with Redis & PostgreSQL
  • Install Python2.7 & OpenCV
  • OpenCV Simple Exercise
  • Image Classification Task
  • Questions
  • Extending VirtualBox Virtual Drive
  • PostgreSQL Data Analyses
  • PostgreSQL – Python – Apache – Bootstrap
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Academy was designed to give the engineer a chance to try various different areas:

-Database & Basic Data Analyses
-Back End Development & Web Service
-Front End Development
-Networking
-Infrastructure and Virtualisation
-Machine Learning

Once you have completed the various tasks you should be able to get an idea of what kind of development you are interested in and what you are good at.

It may be hard to see this but actually all the academy tasks are related. A good back end developer needs to understand the hardware and how the front end works. Likewise a front end developer needs an understanding of how the backend works to be able to work effectively.

The tasks and tutorials are accompanied by lectures which explain the relationship between the different technology areas and how they can be applied. Hands on infrastructure classes also help engineers understand the server hardware components and how to build and virtualise a server from scratch.

Linux command line operations as follows:​

– File system navigation
– File management
– System monitoring
– Basic troubleshooting
– Software installation
– Database server setup, configuration and usage
– In-memory database server installation and usage
– Web server setup and configuration
– Web application development

Languages:

Python, SQL, Ruby, shell script, Redis, NodeJS, HTML 5, Javascript, CSS3,

Frameworks:

OpenCV, Ruby on Rails, Bootstrap, NPM, WebPack, SASS, Jquery

Systems:

Redis, PostgreSQL, Rails, Apache, Nginx, Ubuntu/CentOS

Classroom Topics:

1.The Server Hardware Architecture
2.Parallel computing concepts, RAID, multi-threaded programming, multi-core CPU and GPU
3.The Hardware <> Software relationship for MPP (Massive ParallelProcessing)
4.Database design considerations
5.Software Engineering concepts (coding rules, methodologies etc)

Finally each student is assigned a specific task based on their individual performance and interest to further their IT career.

Basic Configuration

Setting Up Ubuntu

Extending VirtualBox Virtual Drive

Database

PostgreSQL Setup

REDIS

Loading Data into PostgreSQL & Redis

PostgreSQL Data Analyses

Python Setup

PostgreSQL – Python – Apache – Bootstrap

Python

Python with Redis & PostgreSQL

Install Python2.7 & OpenCV

OpenCV Simple Exercise

Image Classification Task

Front End

Front End Technologies: Environment

Front End Technologies: Demo Frontend

Front End Technologies: Demo API

Machine Learning

Machine Learning Engineer – Skills Required

Questions

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