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Starts 8 June 2025 18:31

Ends 8 June 2025

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OpenVINO Beginner: Building a Crossroad AI Camera

Embark on a journey to master AI camera development with our "OpenVINO Beginner: Building a Crossroad AI Camera" course, exclusively on Coursera. This comprehensive 2-hour project-based tutorial is designed for beginners eager to delve into the realm of artificial intelligence and computer vision. In this course, you'll undertake a series of tasks,.
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Overview

Embark on a journey to master AI camera development with our "OpenVINO Beginner:

Building a Crossroad AI Camera" course, exclusively on Coursera. This comprehensive 2-hour project-based tutorial is designed for beginners eager to delve into the realm of artificial intelligence and computer vision.

In this course, you'll undertake a series of tasks, each aimed at elevating your understanding and skills in AI camera creation:

  • Task 1:

    Get acquainted with the OpenVINO™ Toolkit Workflow and its Components, setting a solid foundation for your learning journey.

  • Task 2:

    Learn how to make models operational using the Model Downloader utility, a crucial step in AI development.

  • Task 3:

    Dive into Model Preparation, Conversion, and Optimization, essential skills for any AI developer.

  • Task 4:

    Master Running and Tuning Inference, allowing you to refine AI performance to its peak.

  • Task 5:

    Discover how to create insightful visualizations of Person Attributes and Person Re-identification (REID) information from image/video/camera inputs, bringing a new dimension to your AI projects.

This course falls under multiple categories, namely Artificial Intelligence Courses, Computer Vision Courses, Deep Learning Courses, and Data Visualization Courses, offering a broad learning spectrum.

Provided by Coursera, a reputable online learning platform, this course ensures a high-quality educational experience. Don't miss the chance to transform your understanding of AI cameras and their applications in today's tech-driven world.


Taught by

Tebogo Nakampe and Thabo Koee


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