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}catch(e){} })(); (function() { 'use strict'; var parentSelector = '.menu-item.wpml-ls-current-language.menu-item-has-children'; function toggleSubmenu(link, forceClose) { var isExpanded = link.getAttribute('aria-expanded') === 'true'; if (forceClose || isExpanded) { link.setAttribute('aria-expanded', 'false'); } else { link.setAttribute('aria-expanded', 'true'); } } function handleKeydown(e) { var key = e.key || e.keyCode; if (key === 'Enter' || key === ' ' || key === 13 || key === 32) { e.preventDefault(); toggleSubmenu(this); } else if (key === 'Escape' || key === 'Esc' || key === 27) { if (this.getAttribute('aria-expanded') === 'true') { e.preventDefault(); toggleSubmenu(this, true); } } } function handleBlur(e) { var link = this; var parent = link.closest(parentSelector); if (!parent) return; setTimeout(function() { if (!parent.contains(document.activeElement)) { toggleSubmenu(link, true); } }, 100); } function init() { var parents = document.querySelectorAll(parentSelector); for (var i = 0; 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Each session will take place even if only one person is registered (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.
This training course is part of our Artificial Intelligence Training Courses. Explore our other AI training courses to fully leverage machine learning, LLMs and generative AI.
By the end of this training course, each participant will be able to:
This training course is designed for:
Azure AI Document Intelligence (formerly Form Recognizer) is the Microsoft service for extracting text, tables, key-value pairs, and structured data from documents like invoices, receipts, IDs, contracts, and forms. It combines OCR with AI models — both prebuilt for common documents and custom models you can train on your own templates. MFE-IT trains professionals on integrating Document Intelligence into business automation workflows through the AI-3002 curriculum.
You can automate invoice processing, KYC document verification, contract data extraction, claims handling, expense reconciliation, and any high-volume document-driven workflow. It supports prebuilt models for invoices, receipts, business cards, IDs, and W-2s, plus custom models for proprietary forms. The MFE-IT Azure AI Document Intelligence training covers each model type with real document samples and Logic Apps / Power Automate integration.
Accuracy depends on the document type, image quality, and model. Prebuilt models for invoices and receipts typically achieve 90 to 98% field-level accuracy on clean documents. Custom models trained on 5 to 50 representative samples often reach similar accuracy on proprietary forms. Through MFE-IT’s hands-on approach, learners measure accuracy on their own documents and learn the techniques that push it from acceptable to production-grade.
AI-3002 is Microsoft’s official training reference covering Azure AI Document Intelligence end to end: prebuilt models, custom model training and labeling, Document Intelligence Studio, REST API and SDK usage, integration patterns, and production deployment. Our MFE-IT training course on Azure AI Document Intelligence AI-3002 delivers this curriculum with intensive practice on real-world document scenarios.