Azure AI Engineer Certification | Microsoft Azure AI Online

1. Implementing AI for Vision-Based Applications in Azure Subtitle:Leveraging Azure AI Services for Intelligent Vision Solutions www.visualpath.in +91-7032290546

2. 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. www.visualpath.in +91-7032290546

3. Azure AI Tools for Vision • Azure Computer Vision: Extracts information from images and videos. • Custom Vision: Train custom image classification and object detection models. • Face API: Detects and recognizes human faces. • Form Recognizer: Extracts text, key-value pairs, and tables from documents. www.visualpath.in +91-7032290546

4. Architecture Overview • Data Ingestion: Upload via Azure Blob Storage or Azure Data Factory. • Preprocessing: Azure Functions or Azure Machine Learning for image resizing, cleaning. • Model Training: Use Azure Custom Vision or Azure Machine Learning. • Deployment: Host model with Azure Kubernetes Service or Azure App Services. • Monitoring: Use Azure Monitor and Application Insights. www.visualpath.in +91-7032290546

5. 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

6. 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. www.visualpath.in +91-7032290546

7. 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

8. Integration with Other Azure Services • Azure Cognitive Search for indexing visual data. • Power BI for visual insights. • Azure IoT Edge for deploying vision models to edge devices. www.visualpath.in +91-7032290546

9. 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

10. 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

11. Thank You www.visualpath.in www.visualpath.in +91-7032290546