Training Services

ADI offers training courses to help users get a better understanding of the ADEPT Framework. ADI uses the Balancing Robot Training to develop technical skills for both new and experienced users of the ADEPT Framework.

Balancing Robot Training

 

Course Summary

The Balancing Robot Training Course teaches both fundamental and advanced applications of the ADEPT Framework. Using an open hardware BeagleBone Blue (BBBlue) Single Board Computer (SBC) as the core Linux rtx server, this training course teaches concepts and techniques that apply directly to larger x86- and non-x86-based real-time rtx servers running the ADEPT Framework and most lessons also apply to ADvantage Framework applications. While this course starts with very basic concepts, it quickly builds upon earlier learning points to introduce advanced framework operations. By the end of this course, even a beginner will be able to balance the robot and know how to use the ADEPT tools to analyze real-time performance and automate common functions. This course focuses heavily on the use and benefits of Python scripting to make the most out of your ADI assets. To learn more about this training course, download the brochure here.

 

Training Kit

Name Image Description
Printed copy of instructions and setup documentation These instructions will help you set your robot up and allow you to start the training documentation.
Balancing Robot Linux rtx Server Your own balancing robot Linux rtx server that will allow you to learn about the ADEPT Framework!
ADEPT Framework Demo License A short-term software license (30-day) is included and upgradable—software may be used for development
12V Power Supply A 12V power supply to keep the robot charged.
Micro SD Card The Micro SD has the BeagleBone Blue rtx daemon setup image on it to allow you to set the robot back to it’s original settings
USB Stick This USB Stick includes the ADEPT Framework setup files, the ADEPT Framework evaluation license, a electronic copy of instructions and setup documentation, a copy of the training course material, and a balancing robot example framework

 

Business Values

  • Low-cost training platform
  • Lower new project development costs and improve schedules
  • Reduce learning curve for junior engineers
  • Improve knowledge of Python language automation methods
  • Improve communication between stakeholders by spreading expert knowledge
  • Help your team and get the most out of your investment
  • Improve skills without tying up valuable assets
  • Protect your assets with a low-cost test bed

 

Key Learning Concepts

  • Create an ADEPT Framework
  • Use logical devices for IO
  • Connect models with IO via data dictionaries (DCTs)
  • Use Python scripts for automation and control
  • Create and integrate ADEPT Panel graphical user interfaces
  • Implement real-time schedules and triggers
  • Integrate C-code models into an ADEPT Framework
  • Real-time data acquisition and analysis

Upcoming Training Sessions

Format Description Dates Register
In-Person This class will be held at ADI’s headquarters in Ann Arbor, MI. The course is planned for two full days, from 9am to 5pm. This is our first offering of this class.

June 18 & 19, 2019


September 17 & 18, 2019


December 5 & 6, 2019

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Online This class will be held online. A course package, including training material, software and balancing robot rtx server will be shipped prior to the start date. The course is planned to meet online from 1pm to 5pm (ET) on Monday, Wednesday and Friday of the course week.

July 15, 17, & 19, 2019


October 7, 9, & 11, 2019


January 13, 15, & 17, 2020

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Self-paced The self-paced course allows an individual to complete the training on their own time. Full step-by-step instructions are provided as well as all software and components needed to successfully complete this training course. Remote support is available for 30-days after delivery of the course kit. Any Order Now!

If you have any questions, please feel free to reach out to your local ADI sales representative or contact ADI through our website.