Program Overview
Edge AI Fundamentals Competency
13 Courses
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Learn about dynamic shapes for OpenVINO™
Learn about modes for OpenVINO™ including auto, multi and hetero
Learn about the sync and async Hint Auto Batching for OpenVINO™
Learn about the common hardware plugins that OpenVINO™ uses to run on multiple target platforms.
This optical character detection and recognition application demonstrates how to use multiple computer vision models in a single application to achieve a pipeline of actions.
This course guides the developer through an overview and in-depth examples of the Neural Network Compression Format API and tools for OpenVINO to optimize a model for inference.
Learn about the Post Training Optimization command line tool for OpenVINO™
The Intel® Devcloud for the Edge allows developers to test their OpenVINO™ applications in the cloud on a variety of hardware. Test and understand the your applications performance characteristics and find the system that's perfect for your project.
A walkthrough of OpenVINO™ computer vision models that are available in the Open Model Zoo repository.
The Intel® Distribution of OpenVINO™ toolkit enables you to optimize, tune, and run comprehensive AI inference using the included model optimizer, and runtime and development tools. This course will introduce you to the components and features of the toolkit and walk you through the workflow of using the toolkit to deploy AI-based workloads across Intel® hardware. Find out how you can accelerate applications with high-performance, AI, and deep learning inference deployed from edge to cloud.