Azure AI Engineer Certification | Microsoft Azure AI Online
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Implementing AI for Vision Implementing AI for Vision- -Based Applications in Azure Applications in Azure Based Subtitle: Leveraging Azure AI Services for Intelligent Vision Solutions www.visualpath.in +91-7032290546
Introduction to Vision-Based AI Vision-based AI enables machines to interpret and process visual data. Common use cases: facial recognition, object detection, OCR, image classification. Azure offers robust tools and services for developing and deploying vision AI applications. applications. www.visualpath.in AI +91-7032290546
Azure AI Tools for Vision Azure Computer Vision Azure Computer Vision: Extracts information from images and videos. Custom Vision Custom Vision: Train custom image classification and object detection models. Face API Face API: Detects and recognizes human faces. Form Recognizer Form Recognizer: Extracts text, key-value pairs, and tables from documents. www.visualpath.in +91-7032290546
Architecture Overview Data Ingestion Data Ingestion: Upload via Azure Blob Storage or Azure Data Factory. Preprocessing Preprocessing: Azure Functions or Azure Machine Learning image resizing, cleaning. Model Training Model Training: Use Azure Custom Vision or Azure Machine Learning. Deployment Deployment: Host model with Azure Kubernetes Service or Azure App Services. Monitoring Monitoring: Use Azure Monitor and Application Insights. www.visualpath.in Azure Machine Learning for +91-7032290546
Using Azure Computer Vision Detect objects, read printed/handwritten text (OCR), and generate image descriptions. REST API or SDK available in multiple programming languages. Integrates easily with Logic Apps and Power Automate. www.visualpath.in +91-7032290546
Building with Custom Vision Upload labeled images via UI or API. Train and test models for classification or object detection. Export models for edge deployment or use them via REST API REST API. www.visualpath.in +91-7032290546
Face API for Facial Recognition Detect face attributes (age, emotion, landmarks). Compare and verify faces. Secure identity solutions with face authentication. www.visualpath.in +91-7032290546
Integration with Other Azure Services Azure Cognitive Search for indexing visual data. Power BI Power BI for visual insights. Azure Azure IoT IoT Edge Edge for deploying vision models to edge devices. www.visualpath.in +91-7032290546
Conclusion and Best Practices Start with prebuilt models, move to custom models as needed. Ensure ethical AI use: privacy, bias mitigation. Leverage Azure s scalability, security, and compliance for enterprise-grade solutions. www.visualpath.in +91-7032290546
For More Information About Azure AI Engineer Address:- Flat no: 205, 2nd Floor, Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad-16 Ph. No: +91-998997107 www.visualpath.in online@visualpath.in www.visualpath.in +91-7032290546
Thank You www.visualpath.in www.visualpath.in +91-7032290546
