Online Neural Network Course

Learn more about neural networks and how to utilize them at one of our hands-on Neural Network courses. More than just theory, our courses are taught from a practical perspective that focuses on making neural network technology work for you.

Course attendees also receive the following:

  • Live, streaming classes including question and answer periods.
  • Access to recordings of the live instruction for review and delayed viewing.
  • Access to all software and sample data through a Virtual Private Server.
  • Student/teacher course forum for 24-hour questions and discussions.
  • An optional 30-minute mini-consulting session to discuss the best approach to an individual application.
  • A $200 credit towards the purchase or upgrade of NeuroDimension software
Taught by a live instructor, each student is encouraged to learn by doing through extensive interactive examples. Each of the over 50 in-depth topics include: instruction, interactive learning and experiments. And, if you would like to work with your own data, we’ll help you to use it directly in course projects.

Our comprehensive course structure allows all users, from beginners to experts. See the course outline for details on each session. Space is limited, so register today.

Current Online Neural Network Course:
    Date: April 20th - June 8th - SOLD OUT!!
    Day/Time: Friday's, 1:00 PM - 4:30 PM EST (GMT -5:00)

    Recordings from the live instruction will be available the same day.

 Next Scheduled Online Neural Network Course

There are currently no scheduled Online Courses at this time. Please email sales@nd.com if you are interested in attending a future Online Neural Network Course.

Course attendees over the last twelve years rated the course 4.5 stars out of 5.
"Thanks for a great course in Orlando. I am looking forward to the next one." - Adrian Casillas, MD, UCLA Medical School
"Thank you for a great training course, you were excellent as a teacher and a consultant" - Kader Elgabry, General Electric

* Course space is limited. Course orders cannot be cancelled within 15 days prior to the start of the course.