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

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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.

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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.

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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.

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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.

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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.

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7
Face API for Facial Recognition

• Detect face attributes (age, emotion, landmarks).
• Compare and verify faces.
• Secure identity solutions with face
  authentication.

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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.

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9
Conclusion and Best Practices

• Start with prebuilt models, move to custom models
  as needed.
• Ensure ethical AI use privacy, bias mitigation.
• Leverage Azures scalability, security, and
  compliance for enterprise-grade solutions.

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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_at_visualpath.in
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11
Thank You
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