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Training AI-3004

Build an Azure AI Vision solution with Azure AI services

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  • Training description
  • Scope

Training description

AI-3004 – Build an Azure AI Vision solution with Azure AI Services is intended for software developers wanting to build AI infused applications that leverage Azure AI Services and Azure AI Language. The course will use C# or Python as the programming language. The scenario in this experience represents real-world challenges faced by software developers, AI engineers, and citizen developers.

After completing this course, students will be able to:

  • Design a solution that analyzes images using prebuilt features.
  • Create a custom vision model for classification and object detection.
  • Perform optical character recognition (OCR) and extract insights from video.

Audience profile

Microsoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure AI Services and Azure services. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.

Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs).

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics

 

To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals course before taking this one.

Scope

Analyze images

  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail and remove background
  • Exercise – Analyze images with Azure AI Vision

Image classification with custom Azure AI Vision models

  • Understand custom model types
  • Create a custom project
  • Label and train a custom model
  • Exercise – Classify images with an Azure AI Vision custom model

Detect, analyze, and recognize faces

  • Identify options for face detection analysis and identification
  • Understand considerations for face analysis
  • Detect faces with the Azure AI Vision service
  • Understand capabilities of the face service
  • Compare and match detected faces
  • Implement facial recognition
  • Exercise – Detect, analyze, and identify faces

Read Text in images and documents with the Azure AI Vision Service

  • Explore Azure AI Vision options for reading text
  • Use the Read API
  • Exercise – Read text in images

Analyze video

  • Understand Azure Video Indexer capabilities
  • Extract custom insights
  • Use Video Analyzer widgets and APIs
  • Exercise – Analyze video

Training schedule

Remote

… if you value the opportunity to learn with a trainer and other participants, from anywhere without having to commute.

Stationary

… if you want to learn while sitting in the same room with the trainer and other participants.

Online

… if you want to learn from materials available via the interenet anywhere at any time

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Build an Azure AI Vision solution with Azure AI services

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