05-17-2025, 10:06 PM
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Document Ai Masterclass
Published 5/2025
Created by Madali Nabil
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 3h 22m ) | Size: 1.6 GB
Build End-to-End Intelligent Document Pipelines[/center]
What you'll learn
Build an end-to-end pipeline to extract structured data from unstructured documents using AI.
Use OCR, layout models, and visual AI to analyze complex documents like forms and reports.
Extract text, tables, charts, and visuals using tools like Tesseract, LayoutLM, and Donut.
Create scalable, modular Document AI systems for real-world automation and analytics.
Requirements
Basic Python programming skills
Familiarity with fundamental machine learning concepts is helpful but not required
No prior experience with OCR, NLP, or Document AI needed - we start from the basics
A computer with internet access and the ability to install Python libraries
Description
Documents are everywhere - from research papers and financial reports to scanned forms and technical drawings. But most of this information is locked inside unstructured formats that machines can't easily understand.In this Document AI Masterclass, you'll learn how to build an end-to-end pipeline that transforms raw, unstructured documents into clean, structured data using the power of AI.You'll walk through each stage of the pipeline: detecting structure, extracting content, interpreting visuals, and assembling meaningful outputs - all with a modular design that's scalable and production-ready.Whether you're processing academic papers, business reports, invoices, or forms, this course gives you the tools to automate and understand documents at scale.What You'll LearnWhat Document AI is and how it's transforming industriesHow to architect a modular, flexible pipeline for document processingTechniques for identifying and interpreting document layout and structureMethods for extracting and understanding visual and textual elementsHow to process tables, math expressions, charts, and figuresHow to integrate all steps into a full end-to-end Document AI pipelineBest practices for evaluation, deployment, and scalabilityWhy Learn Document AI?Modern AI systems are capable of far more than just reading plain text. Document AI brings visual understanding, layout awareness, and semantic intelligence to how machines interpret documents.This course prepares you to:Build intelligent systems that mimic how humans read complex documentsAutomate time-consuming manual data extraction workflowsApply AI in industries such as finance, law, healthcare, education, logistics, and researchAdd cutting-edge Document AI experience to your portfolioWhat Makes This Course DifferentEnd-to-End Focus: Learn the full pipeline, not just isolated componentsModular Design: Each part of the system is reusable and customizableReal-World Documents: Apply techniques to realistic formats and layoutsMulti-Modal Understanding: Go beyond text to process structure, visuals, and symbolsTechnologies You'll UsePython-based OCR and layout tools (Tesseract, PaddleOCR)Layout and document transformers (LayoutLM, Donut)Visual AI frameworks (Detectron2, YOLO)Chart and equation parsing toolsDeep learning frameworks (PyTorch, TensorFlow)APIs and open-source libraries for structured extractionWho This Course Is ForMachine Learning and AI practitionersDevelopers building document processing systemsData Scientists working with semi-structured or scanned dataEngineers in finance, legal tech, research, or operationsAnyone looking to master modern Document AI technologiesProjects You'll BuildA modular pipeline for document structure and content understandingIntegrated systems to extract layout, text, visuals, and dataStructured outputs for use in automation, analytics, or downstream AI modelsA full end-to-end Document AI project you can add to your portfolioPrerequisitesBasic Python programmingFamiliarity with machine learning concepts is helpful but not requiredNo prior experience with OCR or document AI needed - we start from fundamentalsStart Building the Future of Document UnderstandingThis is your opportunity to learn one of the most impactful and fast-growing applications of AI. Enroll today and build intelligent Document AI pipelines that turn raw, complex documents into structured data.
Who this course is for
Machine learning and AI practitioners who want to expand into Document AI
Developers building document processing or data extraction tools
Data scientists working with unstructured or scanned documents
Engineers in finance, law, healthcare, research, logistics, or operations
Curious learners with Python skills who want to explore real-world AI applications
Document Ai Masterclass
Published 5/2025
Created by Madali Nabil
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 3h 22m ) | Size: 1.6 GB
Build End-to-End Intelligent Document Pipelines[/center]
What you'll learn
Build an end-to-end pipeline to extract structured data from unstructured documents using AI.
Use OCR, layout models, and visual AI to analyze complex documents like forms and reports.
Extract text, tables, charts, and visuals using tools like Tesseract, LayoutLM, and Donut.
Create scalable, modular Document AI systems for real-world automation and analytics.
Requirements
Basic Python programming skills
Familiarity with fundamental machine learning concepts is helpful but not required
No prior experience with OCR, NLP, or Document AI needed - we start from the basics
A computer with internet access and the ability to install Python libraries
Description
Documents are everywhere - from research papers and financial reports to scanned forms and technical drawings. But most of this information is locked inside unstructured formats that machines can't easily understand.In this Document AI Masterclass, you'll learn how to build an end-to-end pipeline that transforms raw, unstructured documents into clean, structured data using the power of AI.You'll walk through each stage of the pipeline: detecting structure, extracting content, interpreting visuals, and assembling meaningful outputs - all with a modular design that's scalable and production-ready.Whether you're processing academic papers, business reports, invoices, or forms, this course gives you the tools to automate and understand documents at scale.What You'll LearnWhat Document AI is and how it's transforming industriesHow to architect a modular, flexible pipeline for document processingTechniques for identifying and interpreting document layout and structureMethods for extracting and understanding visual and textual elementsHow to process tables, math expressions, charts, and figuresHow to integrate all steps into a full end-to-end Document AI pipelineBest practices for evaluation, deployment, and scalabilityWhy Learn Document AI?Modern AI systems are capable of far more than just reading plain text. Document AI brings visual understanding, layout awareness, and semantic intelligence to how machines interpret documents.This course prepares you to:Build intelligent systems that mimic how humans read complex documentsAutomate time-consuming manual data extraction workflowsApply AI in industries such as finance, law, healthcare, education, logistics, and researchAdd cutting-edge Document AI experience to your portfolioWhat Makes This Course DifferentEnd-to-End Focus: Learn the full pipeline, not just isolated componentsModular Design: Each part of the system is reusable and customizableReal-World Documents: Apply techniques to realistic formats and layoutsMulti-Modal Understanding: Go beyond text to process structure, visuals, and symbolsTechnologies You'll UsePython-based OCR and layout tools (Tesseract, PaddleOCR)Layout and document transformers (LayoutLM, Donut)Visual AI frameworks (Detectron2, YOLO)Chart and equation parsing toolsDeep learning frameworks (PyTorch, TensorFlow)APIs and open-source libraries for structured extractionWho This Course Is ForMachine Learning and AI practitionersDevelopers building document processing systemsData Scientists working with semi-structured or scanned dataEngineers in finance, legal tech, research, or operationsAnyone looking to master modern Document AI technologiesProjects You'll BuildA modular pipeline for document structure and content understandingIntegrated systems to extract layout, text, visuals, and dataStructured outputs for use in automation, analytics, or downstream AI modelsA full end-to-end Document AI project you can add to your portfolioPrerequisitesBasic Python programmingFamiliarity with machine learning concepts is helpful but not requiredNo prior experience with OCR or document AI needed - we start from fundamentalsStart Building the Future of Document UnderstandingThis is your opportunity to learn one of the most impactful and fast-growing applications of AI. Enroll today and build intelligent Document AI pipelines that turn raw, complex documents into structured data.
Who this course is for
Machine learning and AI practitioners who want to expand into Document AI
Developers building document processing or data extraction tools
Data scientists working with unstructured or scanned documents
Engineers in finance, law, healthcare, research, logistics, or operations
Curious learners with Python skills who want to explore real-world AI applications
Code:
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