Image Classification and Object Detection with Azure AI Custom Vision

Computer vision is transforming how industries analyze visual data, but building models from scratch often requires deep machine learning expertise. This text-based course guides you through creating tailored computer vision solutions using Azure AI Custom Vision, without needing a background in complex data science. By reading and working through the structured explanations, you will transition from understanding core machine learning terminology to deploying custom models. You will learn to recognize patterns in images, structure your training data, and integrate your models into practical applications. What you'll learn: Understand foundational computer vision concepts, including image classification and object detection; Organize and tag image datasets effectively to ensure high-quality model training; Train custom image classification models using the Azure AI Custom Vision portal; Configure object detection models to locate and identify specific items within images; Evaluate model performance metrics such as precision, recall, and Average Precision; Apply responsible AI principles to avoid bias in your visual training datasets; Deploy trained models to cloud endpoints for integration into external software applications. We start with key terminology and the basic architecture of computer vision systems. From there, you will progress through dataset preparation, training workflows, model evaluation, and final deployment strategies. This course is designed for software developers, system architects, and tech enthusiasts who want to add computer vision capabilities to their projects, with no prior machine learning experience required. Start reading today to unlock the potential of custom visual AI in your applications.