• views: 80
• date: 12 September 2026
• posted by: voska89

Master SAP Document AI with DOX, SAP Build, invoice automation, and S/4HANA integration.

What you'll learn

⚡ Understand SAP Document AI and intelligent document processing concepts.
⚡ Compare traditional OCR with SAP Document Information Extraction.
⚡ Explore premium Document AI features powered by Large Language Models.
⚡ Configure SAP Document AI services in SAP BTP.
⚡ Navigate the SAP Document AI interface and administration tools.
⚡ Process receipts and business documents using pre-trained AI models.
⚡ Extract invoice headers, tax data, and line items automatically.
⚡ Handle multi-page, multilingual, and low-quality document scans.
⚡ Build and deploy custom extraction templates for business documents.
⚡ Train custom extraction schemas for non-standard invoice formats.
⚡ Extract key clauses from contracts using Generative AI capabilities.
⚡ Classify legal, HR, procurement, and finance documents automatically.
⚡ Build custom document classification models for enterprise scenarios.
⚡ Integrate SAP Document AI with SAP Build Process Automation.
⚡ Design approval workflows using extracted document information.
⚡ Configure confidence thresholds and human-in-the-loop verification.
⚡ Connect SAP Document AI outputs to SAP S/4HANA using OData APIs.
⚡ Automate supplier invoice and purchase order processing workflows.
⚡ Monitor document processing, AI performance, and business KPIs.
⚡ Build an end-to-end intelligent document automation solution using SAP AI.

Requirements

❗ Basic understanding of SAP BTP concepts is helpful.
❗ Familiarity with SAP business applications is beneficial.
❗ Basic knowledge of business documents like invoices is useful.
❗ No prior SAP Document AI experience is required.
❗ No advanced programming knowledge is necessary.
❗ Basic computer and internet navigation skills.
❗ Interest in AI-powered document automation.
❗ Familiarity with workflow automation concepts is beneficial.
❗ Basic understanding of SAP Build is helpful but optional.
❗ Access to SAP BTP trial or enterprise account is recommended.
❗ Willingness to perform hands-on configuration exercises.
❗ Motivation to automate business document processing.
❗ Suitable for beginners and SAP technical professionals.

Description

This course contains the use of artificial intelligence. TheSAP Document AI and Intelligent Automation Training course is designed for SAP developers, automation specialists, technical consultants, and business process professionals who want to automate document processing using SAP's latest AI-powered technologies. This hands-on course teaches you how to extract, classify, validate, and automate business documents while integrating intelligent workflows with SAP S/4HANA and SAP Business Technology Platform (BTP).
The course begins with thefoundations of SAP Document AI, introducing SAP Document Information Extraction (DOX), Optical Character Recognition (OCR), premium Large Language Model (LLM) capabilities, SAP BTP provisioning, system architecture, and Document AI service configuration. Learners will process standard business documents using SAP's pre-trained AI models and understand the complete document processing lifecycle.
A major focus of the course is oninvoice processing and accounts payable automation. You will learn how to extract invoice headers, tax information, line items, and multilingual content while creating custom extraction templates for business-specific document formats. The course also covers training, testing, and deploying custom extraction schemas for enterprise scenarios.
The training further explorescontract intelligence and unstructured document processing, where learners use Generative AI-powered DOX Premium to extract clauses, renewal dates, liability terms, and metadata from legal documents. You will also build custom document classification models to automatically categorize contracts, purchase orders, invoices, and HR documents.
Advanced modules focus onSAP Build Process Automation, integrating Document AI with intelligent workflows, configuring human-in-the-loop approvals, managing confidence thresholds, and connecting extracted document data to SAP S/4HANA through OData APIs. The course concludes with a real-world capstone project that automates invoice receipt, AI extraction, approval workflows, ERP posting, and analytics tracking.
By the end of this course, learners will confidently build end-to-end intelligent document automation solutions using SAP Document AI, SAP Build, SAP BTP, and SAP S/4HANA.

Who this course is for

⭐ SAP consultants implementing intelligent document processing solutions.
⭐ SAP BTP developers building AI-powered business applications.
⭐ SAP Build Process Automation developers creating automated workflows.
⭐ Finance professionals automating invoice processing activities.
⭐ Accounts payable teams improving document processing efficiency.
⭐ Procurement professionals automating supplier document workflows.
⭐ SAP technical consultants integrating AI with SAP S/4HANA.
⭐ Solution architects designing enterprise document automation.
⭐ Business process automation specialists implementing AI solutions.
⭐ Digital transformation professionals modernizing document operations.
⭐ IT professionals supporting intelligent automation initiatives.
⭐ SAP developers integrating Document AI with enterprise applications.
⭐ Organizations training teams on SAP Document AI capabilities.
⭐ Students preparing for careers in SAP AI and automation.
⭐ Anyone interested in intelligent document processing with SAP AI.

Homepage

https://www.udemy.com/course/sap-intelligent-document-automation-training

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.