Jas Patrick - E-Learning

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Jas Patrick Talent Voices Verified

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Description

Jas Patrick's wide range of delivery in E-Learning narration!
Knowledgeable , trustworthy , scientific , informative , conversational , smooth , executive , corporate , educational , confident , casual , professional , intelligent , training , module , intellectual , thoughtful , professorial , professor , business man , IT guy , demonstrator , teacher , student , scientist , youthful , young adult , middle aged , well spoken , articulate , attentive , reliable , white collar , blue collar , millennial , natural , soft spoken , calm , calming , energetic

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Vocal Characteristics

Language

English

Voice Age

Young Adult (18-35)

Accents

North American (General) North American (US General American - GenAM) North American (US West Coast - California, Portland)

Transcript

Note: Transcripts are generated using speech recognition software and may contain errors.
look at you, you're about to become a member of the Pizza Hut team. Cool. Now all that's left to do is to check out the short orientation video for new employees. If you are a kitchen employees, remember that you'll still need to take the hygiene and preparation modules as well. For now, the kick back and have a look at what you can expect as a Pizza Hut. Employees. Welcome to Module six of the Michelin Salesforce training course. In this module, you will learn about our extensive line of tire products for personal vehicles. At the end of the course, you will be asked to take a short quiz to demonstrate what you have learned. The Office of the Commissioner for Privacy and Data Protection See PDP is committed to providing quality training and resource is to assist organisations to better understand their obligation under the Privacy and Data Protection Act 2014 p. D. P. A. Welcome to this USGS data management training. It is important to understand that good data management is crucial to achieving better and more streamlined data integration. There tends to be an underlying assumption that a majority of science data is available and poised for integration and reuse. Unfortunately, this is not the reality for most data