OpenVINO Beginner: Building a Crossroad AI Camera

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OpenVINO Beginner: Building a Crossroad AI Camera provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. OpenVINO Beginner: Building a Crossroad AI Camera is taught by Tebogo Nakampe and Thabo Koee. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • In this 2-hour long project-based course, you will learn how to Build a Crossroad AI Camera:

    Learning Objective 1: By the end of Task 1, you will be able to explain the OpenVINO™ Toolkit Workflow and OpenVINO™ Toolkit Components
    Learning Objective 2: By the end of Task 2, you will be able to operationalize models using the Model Downloader utility
    Learning Objective 3: By the end of Task 3, you will be able to perform Model Preparation, Conversion and Optimization
    Learning Objective 4: By the end of Task 4, you will be able to Running and Tuning Inference
    Learning Objective 5: By the end of Task 5, you will be able to create visualization of Person Attributes and Person Re-identification (REID) information for each detected person in an Image/Video/Camera input.