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AI-3002: Develop AI Information Extraction Solutions in Azure

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Course Overview

The AI-3002: Develop AI Information Extraction Solutions in Azure course is designed for professionals aiming to build intelligent systems that extract, analyse, and structure unstructured data using Microsoft Azure AI services. This training equips participants with the knowledge and hands-on skills to leverage Azure Cognitive Services, Form Recognizer, Text Analytics, and Custom Vision for extracting actionable insights from text, documents, and images.

Participants will explore end-to-end information extraction workflows, including data ingestion, preprocessing, model training, integration, and deployment. The course emphasizes solution architecture, automation, scalability, and monitoring, enabling learners to deliver robust, secure, and enterprise-ready AI information extraction solutions.

By completing this course, participants will gain expertise in designing automated data extraction pipelines, integrating AI into business processes, and applying responsible AI practices. This training aligns with Microsoft’s AI engineering certification paths and equips professionals to drive data-driven decision-making and process automation in their organisations.

In this course, you will learn how to:

  • Design tailored solutions for analyzing business forms through Azure AI Document Intelligence.
  • Develop solutions for analyzing various types of common documents using Document Intelligence.
  • Implement solutions for analyzing diverse custom form types with Document Intelligence.
  • Learn to amalgamate multiple Document Intelligence models into a composite model for enhanced functionality.

Training Prerequisites:

Before enrolling, students must possess:

  • Proficiency in Microsoft Azure with the ability to navigate the Azure portal effectively.
  • Familiarity with either C# or Python programming languages.
  • Understanding of JSON and REST programming semantics.

Schedule Dates

09 March 2026
AI-3002: Develop AI Information Extraction Solutions in Azure
15 June 2026
AI-3002: Develop AI Information Extraction Solutions in Azure
21 September 2026
AI-3002: Develop AI Information Extraction Solutions in Azure
21 December 2026
AI-3002: Develop AI Information Extraction Solutions in Azure

Course Content

  • Introduction
  • Understand AI Document Intelligence
  • Plan Azure AI Document Intelligence resources
  • Choose a model type

  • Introduction
  • Understand prebuilt models
  • Use General Document, Read, and Layout models
  • Use financial, ID, and tax models
  • Exercise: Analyze a document using Azure AI Document Intelligence

  • Introduction
  • What is Azure Document Intelligence?
  • Get started with Azure Document Intelligence
  • Train custom models
  • Use Azure Document Intelligence models
  • Use Azure Document Intelligence Studio
  • Exercise: Extract data from custom forms

  • Introduction
  • Understand composed models
  • Assemble composed models
  • Exercise: Create a composed model

  • Introduction
  • Understand Azure Cognitive Search enrichment pipelines
  • Build an Azure AI Document Intelligence custom skill
  • Exercise: Build and deploy an Azure AI Document Intelligence custom skill

FAQs

Participants will gain hands-on experience with Azure Cognitive Services, Form Recognizer, Text Analytics, Custom Vision, and Language Service to extract structured data from documents, images, and unstructured text.

The course covers data preprocessing, model selection, evaluation metrics, fine-tuning, and performance optimization to ensure reliable and accurate information extraction.

Absolutely. The training demonstrates API-based integration, Azure Functions, workflow automation, and cloud deployment strategies for embedding AI extraction capabilities into enterprise applications.

Participants will learn data privacy, compliance, transparency, and fairness principles to design extraction solutions that are ethical, secure, and trustworthy.

The training covers solution architecture, scalability, workflow automation, monitoring, and governance, ensuring solutions can be deployed in large-scale enterprise environments.

This course prepares learners for Microsoft Azure AI Engineer certification (AI-102/AI-300 series) and enhances career opportunities in AI engineering, data automation, business intelligence, and enterprise AI development.