Deploying Edge AI
Dates: | April 8 - May 15, 2024 |
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Meets: | M and W from 6:00 PM to 8:30 PM |
Location: | Zoom |
Cost: | $600.00 |
Sorry, we are no longer accepting registrations for this course. Please contact our office to find out if it will be rescheduled, or if alternative classes are available.
This course is a high-level guide to the entire space of edge AI. It is designed for engineers, scientists, product managers, and decision-makers, providing them with a workflow and framework for solving real-world problems using edge AI. It will cover opportunities, limitations, and risks inherent to various edge AI technologies and provide a framework for analyzing problems and designing solutions using AI and embedded machine learning. It will also offer an end-to-end workflow for developing AI applications.
This is not a programming course or tutorial that provides many line-by-line code explanations or step-by-step guides to using specific software; rather, it is a course on how to apply a general framework to solve problems using whichever tools are best suited for the job.
Expect tangible, interactive examples that you can explore, customize, and build upon. You'll also have access to a variety of artifacts to explore, from GIT repositories to free online databases and example training pipelines.
The certificate program is designed for your convenience. It consists of four courses, each running for six weeks and meeting synchronously on Zoom. The first two courses can be taken simultaneously or in any order, allowing you to fit your learning into your busy schedule.
Admission to the University is not required. However, students must apply to enter the certificate program to ensure they have the skills needed to succeed. Returning students do not need to complete the application again.
Apply at
https://usacce.wufoo.com/forms/m1cq8fj1kxzb2y/
This is an online course with a live instructor.
Notes:
Fee: | $600.00 |
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Hours: | 30.00 |
CEUs: | 3.00 |
Zoom
Course is offered via Zoom.Ali Haidous
Dr. Ali Haidous is a licensed Professional Engineer and has over 12 years of industry experience. He worked and consulted for many Fortune 500 companies and various startups. Ali took his first startup through an acquisition at 21 years old. He earned his B.S. degree in electrical and computer engineering (ECE) from Lipscomb University, M.Eng. and Ph.D. in ECE from North Dakota State University (NDSU). His research primarily focuses on embedded hardware-software AI system integration, video memory optimization for low-power applications, and content aware power efficient smart memory systems leveraging machine learning techniques for big videos and deep learning.Date | Day | Time | Location |
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