AI-3008-A: Extract insights from visual data on Azure

Course code: NP76096

Available in Instructor-Led or Virtual formats.

AI-3008 is an advanced course designed for developers and AI professionals to build intelligent applications that extract insights from images and documents using Azure AI services. The course covers multimodal generative AI, image and video generation, Azure Content Understanding, Document Intelligence, and Azure AI Search. Learners gain practical skills to analyze visual data, extract structured information, build AI-powered applications, and create searchable knowledge solutions by combining vision, language models, and cloud-based AI capabilities.

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

Learn to create AI solutions that combine images, text, and language models using Azure AI services for intelligent interactions.

Explore Microsoft Foundry models to create original visuals and dynamic videos from natural language prompts.

Use Azure Content Understanding to extract insights, identify visual elements, and process multimodal content effectively.

Apply Azure Document Intelligence to extract text, tables, key-value pairs, and useful data from documents.

Build Azure AI Search solutions that index, enrich, and retrieve insights from organizational data efficiently.

Course structure

Module 1: Develop a vision-enabled generative AI application

  • 1.1 Introduction 
  • 1.2 Use a vision-capable model in the Microsoft Foundry portal 
  • 1.3 Develop a vision-based chat app 
  • 1.4 Exercise – Develop a vision-enabled chat app 
  • 1.5 Summary 

Module 2: Generate images with AI

  • 2.1 Introduction 
  • 2.2 What are image-generation models? 
  • 2.3 Explore image-generation models in Microsoft Foundry portal 
  • 2.4 Create a client application that uses an image generation model 
  • 2.5 Exercise – Generate images with AI 
  • 2.6 Summary 

Module 3: Generate videos with Microsoft Foundry

  • 3.1 Introduction 
  • 3.2 Deploy a video generating model 
  • 3.3 Generate video from a prompt 
  • 3.4 Generate video in Python 
  • 3.5 Exercise – Generate video with Sora 2 in Microsoft Foundry 
  • 3.6 Summary 

Module 4: Analyze images with Content Understanding

  • 4.1 Introduction 
  • 4.2 What is Content Understanding? 
  • 4.3 Analyze images with Content Understanding 
  • 4.4 Exercise – Analyze images with Content Understanding 
  • 4.5 Summary 

Module 5: Create a multimodal analysis solution with Azure Content Understanding

  • 5.1 Introduction 
  • 5.2 What is Azure Content Understanding? 
  • 5.3 Create a Content Understanding analyzer 
  • 5.4 Use the Content Understanding API 
  • 5.5 Exercise – Extract information from multimodal content 
  • 5.6 Summary 

Module 6: Create an Azure Content Understanding client application

  • 6.1 Introduction 
  • 6.2 Prepare to use the AI Content Understanding API 
  • 6.3 Create a Content Understanding analyzer 
  • 6.4 Analyze content 
  • 6.5 Exercise – Develop a Content Understanding client application 
  • 6.6 Summary 

Module 7: Extract data with Azure Document Intelligence

  • 7.1 Introduction 
  • 7.2 What is Azure Document Intelligence? 
  • 7.3 Use the Document Intelligence Studio 
  • 7.4 Use prebuilt models 
  • 7.5 Train and use custom models 
  • 7.6 Exercise – Analyze documents with Document Intelligence 
  • 7.7 Summary 

Module 8: Create a knowledge mining solution with Azure AI Search

  • 8.1 Introduction 
  • 8.2 What is Azure AI Search? 
  • 8.3 Extract data with an indexer 
  • 8.4 Enrich extracted data with AI skills 
  • 8.5 Search an index 
  • 8.6 Persist extracted information in a knowledge store 
  • 8.7 Exercise – Create a knowledge mining solution 
  • 8.8 Summary 

Prerequisites

  • Basic Programming Experience 
  • Foundational AI and Cloud Knowledge 
  • Familiarity with Digital Content Workflows 

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