1. Introduction To Computer Vision
2. Computer Vision Basics
3. Intel® Edge AI Fundamentals with OpenVINO™
This course spans over one month, offering an opportunity to explore the Intel® Distribution of OpenVINO™ Toolkit. It is yet another free course available for learners. The course is divided into five lessons, each focusing on different aspects.
In the first lesson, you will gain an understanding of AI at the Edge and its various applications. Additionally, you will dive into the OpenVINO™ Toolkit, explore different types of computer vision models, analyze case studies in computer vision, and discover the pre-trained models available in OpenVINO™. This lesson also includes exercises to enhance your practical understanding of computer vision.
The second lesson is dedicated to the Model Optimizer and optimization techniques. You will learn how to utilize the Model Optimizer with TensorFlow models effectively.
The last two lessons will cover the Inference Engine and its functionalities. You will learn how to work with the Inference Engine using an IR (Intermediate Representation), gain insights into OpenCV basics, explore techniques for handling input streams, and even delve into MQTT (Message Queuing Telemetry Transport) integration, among other topics.
4. Advanced Computer Vision With TensorFlow
5. Computer Vision
Throughout the course, you will gain proficiency in utilizing pre-built blocks for constructing your custom content and develop a strong grasp of visual feature extraction and transfer learning, which are fundamental concepts in computer vision.