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AI-3002: Develop AI Information Extraction Solutions in Azure Beginner

AI-3002: Develop AI Information Extraction Solutions in Azure equips AI engineers and developers with the skills to automate data capture from documents using Azure AI Document Intelligence and Content Understanding. It solves the critical pain point of manual, error-prone data entry, which 73% of enterprises cite as a barrier to process automation (Microsoft, 2023). Learners gain hands-on expertise in building custom and composed models, extracting structured data from forms, and integrating AI-powered extraction into search solutions.

This course prepares learners for the Microsoft Applied Skills credential: Create an intelligent document processing solution with Azure AI Document Intelligence. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, ensuring mastery of real-world scenarios. Graduates will be able to deploy scalable document intelligence solutions that drive efficiency in business process automation.

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Course Overview

Microsoft's AI-3002: Develop AI Information Extraction Solutions in Azure is an intermediate-level training path designed for AI Engineers, Developers, and Data Engineers seeking to master document intelligence and content understanding on the Azure platform. This course prepares learners for the Microsoft Applied Skills credential: Create an intelligent document processing solution with Azure AI Document Intelligence, validating real-world proficiency in automated data capture and knowledge mining. With global enterprises increasingly adopting AI for business process automation—Microsoft reports over 70% of Fortune 500 companies now use Azure AI services for document processing—this skill set is in high demand. The AI-3002 curriculum equips professionals with the tools to streamline data extraction from forms, invoices, IDs, and multimodal content, supporting critical use cases like digital asset management and meeting summarization.

Students engage with core Azure AI services including Azure AI Document Intelligence, Azure AI Content Understanding, and Azure AI Search through hands-on labs in the Azure Portal and Document Intelligence Studio. The course includes practical exercises where learners build custom and composed models to extract key-value pairs and table data from typed or handwritten forms, then integrate these models into a knowledge mining pipeline using Azure AI Search. A key project involves creating a client application that leverages REST APIs and SDKs in Python or C# to automate document processing workflows, simulating real-world scenarios such as invoice processing or ID verification. These labs are conducted in Microsoft’s cloud-based lab environment, ensuring secure, scalable, and realistic practice with official tooling.

By completing the AI-3002: Develop AI Information Extraction Solutions in Azure course, learners gain a Microsoft Applied Skills credential that is recognized across the industry for validating practical AI implementation skills. Professionals with Azure AI expertise, particularly in document intelligence, command competitive salaries, with AI Engineers averaging $130,000 annually in the U.S. according to 2025 labor market data. Koenig Solutions enhances this learning journey with Guaranteed-to-Run batches, official Microsoft courseware, and optional 1-on-1 mentoring to ensure mastery. Graduates are well-positioned to advance into senior AI engineering roles, driving digital transformation through intelligent automation in enterprise environments.

What You'll Learn

Create multimodal analysis solutions with Microsoft Azure Content Understanding to accurately interpret complex data types. Implement Azure Document Intelligence for form data extraction, enabling efficient processing of structured information. Deploy prebuilt Azure Document Intelligence models tailored for financial and ID documents to speed up deployment and improve accuracy. Design custom Azure Document Intelligence models for business forms, ensuring solutions meet specific organizational needs. Enrich your data by applying Azure AI Search cognitive skills, enhancing search relevance and insights. Persist extracted information securely in Azure AI Search knowledge stores to facilitate quick retrieval and analysis. This course equips you with the skills to develop AI-powered information extraction solutions in Azure, helping organizations automate data processing and gain faster insights. With Microsoft’s Azure platform, you can build scalable, reliable AI solutions that transform raw data into actionable intelligence. Join over 250,000 professionals trained by Koenig Solutions to advance your expertise in Azure AI technologies.

Skills You'll Gain

Azure Document Intelligence Azure Content Understanding Azure AI Search Document Intelligence API Content Understanding API Form Data Extraction Prebuilt Models Custom Document Models Knowledge Mining Multimodal Analysis REST API Integration AI Enrichment Pipeline Indexer Configuration Knowledge Store Data Capture Business Process Automation Cognitive Search

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in navigating and utilizing the Microsoft Azure portal for AI solutions
  • Hands-on experience with C# or Python programming languages relevant to Azure AI development
  • Understanding of JSON data structures and REST API semantics essential for Azure AI-3002
  • Experience using REST-based APIs and SDKs to connect with Azure AI services
  • Familiarity with Azure AI Foundry and its key components for developing AI information extraction solutions
  • Prior experience with Azure AI Document Intelligence or similar document processing services in Azure
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Certification Exam

Everything you need to know about the AI-3002 certification exam

Exam Details
Exam Name
AI-3002
Exam Cost
Free
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
72 hours
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AI-3002: Develop AI Information Extraction Solutions in Azure

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Master AI-3002: Develop AI Information Extraction Solutions in Azure Multimodal Analysis
Define Azure AI Content Understanding architecture Provision a Content Understanding analyzer resource Execute Content Understanding REST API calls Perform advanced content analysis via Azure Configure prerequisites for AI extraction APIs Deploy scalable multimodal content analysis workflows Optimize Azure AI Content Understanding settings Streamline Azure AI for automated extraction
2
Day 2– Build Microsoft AI-3002 Content Understanding Client Applications
Architect client apps for Content Understanding Integrate Azure AI Content Understanding SDKs Process complex multimodal content within apps Automate text and table document extraction Analyze document structures via REST API Manage Content Understanding API response payloads Implement robust content analysis code logic Validate Content Understanding client application performance
3
Day 3– Leverage Microsoft AI-3002 Prebuilt Document Intelligence Models
Evaluate prebuilt Document Intelligence model capabilities Apply the General Document analysis model Utilize Read and Layout model features Extract financial data with specialized models Process identity documents using prebuilt AI Automate tax form analysis with AI Deploy prebuilt models into production solutions Benchmark model accuracy and extraction output
4
Day 4– Execute AI-3002 Data Extraction with Azure Document Intelligence
Define Azure Document Intelligence core functionality Initialize Azure Document Intelligence development environments Navigate the Azure Document Intelligence Studio Train custom document extraction AI models Extract structured key-value pairs from forms Parse complex table data from documents Implement Azure Document Intelligence SDK libraries Refine and improve custom model performance
5
Day 5– Develop AI-3002 Knowledge Mining Solutions with Azure AI Search
Explain Azure AI Search infrastructure benefits Build search indexes for extracted datasets Enrich enterprise data using AI skills Automate data extraction via Azure indexers Persist metadata in Azure knowledge stores Query and search indexed content effectively Integrate Document Intelligence with search pipelines Construct end-to-end knowledge mining architectures

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

88%

of AI-3002 certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the AI-3002 certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • AI Engineer
  • MLOps Engineer
  • AI Platform Engineer
  • Knowledge Mining Engineer
  • AI Solutions Developer
  • Cloud AI Architect

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro JPMorgan Chase Capgemini Cognizant Ernst & Young Booz Allen Hamilton

and 5,000+ organizations worldwide seeking AI-3002 certified professionals

Meet Your Instructor

👤
Sachin Chauhan
20+
Years Exp.
5,000+
Students
4.9
Avg Rating
IT Professional with 20+ Years of rich experience in Microsoft .NET Module.
Worked on various Microsoft products, like Developing Microsoft Azure Solutions, Microsoft AI, Cognitive services, Web.
Services, Microsoft ASP.NET Core MVC Web Applications, Programming in C#, HTML5,
CSS3, JavaScript, Angular, reactJs, and SharePoint development on all the versions of SharePoint from 2007 to 2019 and SharePoint Online, Power Platform.

Associated with Koenig since March-2006.

Real Transformations

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

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    Sarah K.

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    CISO, Financial Services

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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