Azure Custom Vision for Image Classification and Object Detection

Computer vision is transforming how we analyze visual data, but building custom models from scratch often requires extensive data science expertise. This text-based course shows you how to leverage cloud-powered AI to train and deploy highly accurate models with ease. You will transition from understanding basic computer vision concepts to setting up and managing your own cloud resources. Through clear written explanations, you will learn to prepare dataset structures, train custom models, and integrate them into real-world applications. What you will learn: 1. Understand foundational cloud-based computer vision concepts and terminology. 2. Configure and manage cloud resources for custom vision projects. 3. Prepare and tag image datasets for classification and object detection. 4. Train and evaluate model performance using precision and recall metrics. 5. Deploy trained models to cloud endpoints for real-time predictions. 6. Apply ethical AI practices to identify and mitigate bias in image datasets. The course begins with core terminology and resource setup before guiding you through dataset preparation, model training, and deployment strategies. You will practice through written scenarios and step-by-step configuration walkthroughs. This training is designed for beginners, software developers, and technology enthusiasts who want to explore cloud-based AI without prior machine learning experience. Start reading today and unlock the power of automated image classification.