Document AI Masterclass
Build End-to-End Intelligent Document Pipelines
Document AI Masterclass free download
Build End-to-End Intelligent Document Pipelines
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.
