Artificial Intelligence for Engineers
Apr 23, 2019 /
Course Code: 0401-WEB19
After participating in this course, you will be able to:
- Identify artificial intelligence (or AI) core concepts, benefits and challenges
- Highlight leading AI case studies from multiple industries and professions
- Review how practitioners can succeed using the technology
- Discuss key AI resources and communities online
- Prepare a basic AI starter strategy for your operations and career
This course provides a concise overview of artificial intelligence (or AI) -- computing systems that can virtually learn on their own -- and its potential to help practitioners boost their revenue, relevance and value.
The technology self-educates by drawing conclusions from large quantities of data, adjusts its activities based on its observations, and perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
- Industry Examples
- What’s Ahead
Who Should Attend:
Those practitioners who want an introductory and non-technical understanding of artificial intelligence technology including:
Design Engineers • Facility Engineers • Engineering Consultants • Material Managers • Facility Operators • Project Managers
Please note: You can check other time zones here.
InstructorGarrett Wasny, MA, CMC, CITP
Garrett has more than two decades of Internet experience and is an award-winning Internet speaker, webcaster, professional development technologist and former management adviser for Price Waterhouse.
Since 1995, he's authored three books (World Business Resources.com, How to Conquer the World, Advanced Googling), published hundreds of articles and columns in leading business and lifestyle publications, and delivered more than 1,000 seminars and webinars on Internet strategy. His clients include Fortune 500 companies and leading accounting, engineering, medical, legal and professional sports organizations worldwide.
Full Disclosure: Garrett is an independent Certified Management Consultant (CMC) who provides objective information, and is not affiliated with Google or any of the technologies discussed in the course.
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Fee & Credits
- 0.1 Continuing Education Units (CEUs)
- 1 Professional Development Hours (PDHs)
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