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Articulate Storyline Training Classes
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Description
Articulate Storyline is one of the most popular e-learning development tools on the market. With such high demand to use the tool, it is crucial that users of all skill levels are trainind adequately. In combination with our partner Amananet, we offer several training classes for Articulate Storyline throughout the year for a range of skill levels.
Location
These classes are delivered online via GoToTraining.
Articulate Storyline-Level 1
This training is for anyone using versions 2, 3, or 360. Storyline is an e-learning authoring tool that’s simple enough for beginners and powerful enough for experts. It allows you to create interactive professional-looking e-learning courses. Our Articulate Storyline training focuses on teaching course developers how to create quality training titles, demonstrations, interactive simulations, branching scenarios, and quizzes without any programming.
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Articulate Storyline-Level 2 (Advanced)
This training is for anyone using versions 2, 3, or 360 of Articulate Storyline. Articulate Storyline advanced provides students with the knowledge and hands-on practice they need to develop and build advanced interactions, extend the functionality of Storyline, and have a better understanding of Storyline project workflow.
This class is for those who are familiar with the basic features of Storyline such as creating slides, layers, triggers, working with timelines, importing text, characters, videos, creating simple tests and other basic functions and would like to gain deeper knowledge of Storyline. This class builds upon fundamental skills in Storyline Essentials by providing students with hands-on practice extending Storyline capabilities, and customizing the learner experience. In this class we will explore many media features in depth including best practices for audio and video, animations, storyline variables, conditional triggers, cue points, and student reporting. Additionally, in this class we cover Scenario-based Learning and Instructional Path Models.