Intel® Edge AI Fundamentals with OpenVINO™
Offered By: Intel via Udacity
Course Description
Overview
Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel® Distribution of the OpenVINO™ toolkit to deploy computer vision capabilities inside a range of edge applications. Leverage the potential of edge computing and use the Intel® Distribution of the OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications.
Syllabus
- Leveraging Pre-Trained Models
- Leverage a pre-trained model for computer vision inferencing
- The Model Optimizer
- Convert pre-trained models into the framework-agnostic intermediate representation with the Model Optimizer
- The Inference Engine
- Perform efficient inference on deep learning models through the hardware-agnostic Inference Engine
- Deploying an Edge App
- Deploy an app on the edge, including sending information through MQTT, and analyze model performance and use cases
Taught by
Michael Virgo
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent