Lesson 1
Introduction to AI at the Edge
Get introduced to AI at the Edge, and find out about the topics you’ll learn throughout the rest of the course.
Course
Learn the basics of AI at the Edge, leverage pre-trained models, convert models with the Model Optimizer, utilize the Inference Engine, and learn some additional topics for edge applications.
Learn the basics of AI at the Edge, leverage pre-trained models, convert models with the Model Optimizer, utilize the Inference Engine, and learn some additional topics for edge applications.
Last Updated March 7, 2022
No experience required
Lesson 1
Introduction to AI at the Edge
Get introduced to AI at the Edge, and find out about the topics you’ll learn throughout the rest of the course.
Lesson 2
Leveraging Pre-Trained Models
Utilize Pre-Trained Models from the Intel® Distribution of OpenVINO™ Toolkit to build powerful edge applications, without the need to train your own model.
Lesson 3
The Model Optimizer
Explore the Model Optimizer, which allows you to take models trained with many different Deep Learning frameworks and create an Intermediate Representation useful with the Inference Engine.
Lesson 4
The Inference Engine
Dive deeper into the Inference Engine, and perform inference in the OpenVINO™ Toolkit. By the end, you’ll know the full workflow for OpenVINO™ fundamentals and be ready to integrate into an app.
Lesson 5
Deploying an Edge App
With the OpenVINO™ Toolkit fundamentals down, you’re ready to move onto more topics to get your edge app up and running. Learn about handling input streams, MQTT and more as you finish the course!
Michael Virgo
Instructor
After beginning his career in business, Michael utilized Udacity Nanodegree programs to build his technical skills, eventually becoming a Self-Driving Car Engineer at Udacity before switching roles to work on curriculum development for a variety of AI and Autonomous Systems programs.
Michael Virgo
Instructor
After beginning his career in business, Michael utilized Udacity Nanodegree programs to build his technical skills, eventually becoming a Self-Driving Car Engineer at Udacity before switching roles to work on curriculum development for a variety of AI and Autonomous Systems programs.
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