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Courses and
Registration

Before You Attend Class

Follow the steps below to assure yourself an optimum learning experience.
Classroom Training

Before you attend classroom training:

  • Review the course description and prerequisites. Some courses require a pre-test before your registration can be confirmed.


  • Make hotel reservations and travel arrangements. Information on hotels, amenities, shuttle services, start and end times, and more are available with the course description.


  • Check the local weather. Dress code for classroom training is generally business casual. Some of the classrooms may be slightly cooler than normal room temperature to keep the equipment running efficiently, so you may want to bring a sweater or light jacket.


  • Contact the training center if you have special needs or dietary restrictions. All training centers are handicapped accessible. Lunches are generally provided by the training center if restaurants are not within walking distance.

Realtime Learning

Be prepared to begin your first Realtime Learning session on time. Review the Realtime Learning Orientation Guide (PDF) to maximize your learning experience. The guide will ensure that you have the required WebEx software installed and that you can access the Realtime Learning session.

Anytime Learning

Before you purchase an Anytime Learning session, make sure your computer meets the following requirements:

  • Audio output (headphones or external speakers)
  • High-speed Internet access (dial-up will not work)
  • Monitor screen resolution 800x600 px or higher

Review the Anytime Learning Orientation Guide (PDF) to maximize your learning experience. The guide will ensure that you can access the Anytime Learning session and navigate the browser player menu.


Blended Learning

Be prepared to begin your first Blended Learning session on time. View the Blended Learning Orientation Video to maximize your learning experience.

Also, view the Anytime Learning and Realtime Learning Orientation Guides because Blended Learning uses techniques from both learning methods.