Unlock the potential of Artificial Intelligence by learning the fundamentals of computer vision, the branch of AI focused on enabling machines to interpret and understand the visual world. In this course, you will explore core computer vision concepts and discover how to leverage Azure’s powerful AI services to process images, videos, and other visual data. From identifying objects to analyzing real-time video feeds, this course will equip you with the knowledge and tools to build and manage computer vision workloads in Azure.

What You Will Learn:

• Computer Vision Concepts: Gain a foundational understanding of computer vision and how AI systems can be trained to interpret images, videos, and real-world visual environments. Learn about common use cases such as object detection, image classification, and facial recognition.
• Computer Vision in Azure: Explore Azure's comprehensive computer vision capabilities, including Azure Cognitive Services, to develop and deploy vision-based applications. Learn how to harness pre-trained models and customize them for your specific workloads.

After Completing This Module, You Will Be Able To:

• Describe the key features and use cases of computer vision workloads on Azure.
• Understand how Azure’s computer vision services can be applied to real-world applications like image processing, video analysis, and augmented reality.

Key Features:

• Introduction to core computer vision techniques, from image recognition to video analysis.
• Practical demonstrations of Azure’s computer vision services, enabling you to process and analyze visual data.
• Hands-on examples of building vision-based AI solutions using Azure Cognitive Services and other AI tools.

Who Should Take This Course:

• Developers and data scientists looking to integrate computer vision into their AI projects.
• IT professionals and AI enthusiasts interested in using Azure’s cloud services to build vision-based applications.
• AI professionals aiming to understand how to manage and scale computer vision workloads on Azure.

Prerequisites:

Basic knowledge of AI concepts is recommended, but no prior experience with computer vision or Azure is required.

Course Format:

• Duration: 2.5 hours
• Level: Beginner to Intermediate
• Delivery: Self-paced course with hands-on labs and real-world use case demonstrations

By the end of this course, you'll have the skills to create and deploy computer vision applications using Azure’s state-of-the-art AI tools, bringing the power of visual intelligence to your projects.