Document AI Masterclass

Build End-to-End Intelligent Document Pipelines

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 Learn

What Document AI is and how it’s transforming industries

How to architect a modular, flexible pipeline for document processing

Techniques for identifying and interpreting document layout and structure

Methods for extracting and understanding visual and textual elements

How to process tables, math expressions, charts, and figures

How to integrate all steps into a full end-to-end Document AI pipeline

Best practices for evaluation, deployment, and scalability

Why 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 documents

Automate time-consuming manual data extraction workflows

Apply AI in industries such as finance, law, healthcare, education, logistics, and research

Add cutting-edge Document AI experience to your portfolio

What Makes This Course Different

End-to-End Focus: Learn the full pipeline, not just isolated components

Modular Design: Each part of the system is reusable and customizable

Real-World Documents: Apply techniques to realistic formats and layouts

Multi-Modal Understanding: Go beyond text to process structure, visuals, and symbols

Technologies You’ll Use

Python-based OCR and layout tools (Tesseract, PaddleOCR)

Layout and document transformers (LayoutLM, Donut)

Visual AI frameworks (Detectron2, YOLO)

Chart and equation parsing tools

Deep learning frameworks (PyTorch, TensorFlow)

APIs and open-source libraries for structured extraction

Who This Course Is For

Machine Learning and AI practitioners

Developers building document processing systems

Data Scientists working with semi-structured or scanned data

Engineers in finance, legal tech, research, or operations

Anyone looking to master modern Document AI technologies

Projects You’ll Build

A modular pipeline for document structure and content understanding

Integrated systems to extract layout, text, visuals, and data

Structured outputs for use in automation, analytics, or downstream AI models

A full end-to-end Document AI project you can add to your portfolio

Prerequisites

Basic Python programming

Familiarity with machine learning concepts is helpful but not required

No prior experience with OCR or document AI needed — we start from fundamentals

Start Building the Future of Document Understanding

This 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
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