Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure

Unlock the Power of Computer Vision with Microsoft Azure (AI-900 Prep)

Welcome to the visual frontier of Artificial Intelligence! In this video, we dive deep into Computer Vision on Azure, exploring how machines see, interpret, and understand the world around them.

Whether you are a developer looking to integrate AI or a student preparing for the Microsoft Azure AI Fundamentals (AI-900) exam, this video is for you. Computer Vision represents 15%–20% of the exam content, and we cover everything you need to pass.

What You’ll Learn:
The Azure Ecosystem: A breakdown of Azure AI Vision, Custom Vision, Face Service, and Video Indexer.

Core Capabilities: Understanding Image Captioning, Tagging, and the difference between Classification and Object Detection.

The Science of Pixels: How computers turn grids of numbers and RGB values into "sight."

Deep Learning (CNNs): A whiteboard look at Convolutional Neural Networks—the "engine" of modern AI.

Multimodal Models: How Microsoft Florence links language and vision through Embeddings.

Responsible AI: Navigating the ethics of bias, privacy, and fairness in facial recognition.

📌 Free Resources
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Table of Contents:
0:00 - Introduction to Computer Vision 0:45 - The Azure Vision Ecosystem 2:30 - Image Captioning, Tagging & Object Detection 4:15 - How it Works: Pixels & Kernels 6:00 - Deep Learning: Inside a CNN 8:15 - The Modern Era: Multimodal Models 10:00 - Responsible AI: Ethics & Bias 11:45 - Final Summary & Key Terms

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Видео Azure AI Fundamentals (AI-900): Computer Vision Workloads on Azure канала NonTechieGuide