Industrial AIoT Bootcamp
Cohort Three | Intelligent Document Processing
A FREE Gateway to a Future in Technology!
Gain skills and experience to specialize in the rapidly growing field of Intelligent Document Processing with the live online IDP Bootcamp – all in 12 weeks part-time.
Anyone willing to improve their skillset:
Seniors and
Experts
Individuals with several years
of professional experience,
or Individuals doing MSc in
Machine Learning
Professionals from
Industry
Diverse industry professionals
seeking to integrate Intelligent
Document Processing in
their applications.
Creators with
Ideas
Entrepreneurs and innovators
who wish to bring their
ideas to life.
IT and
Tech Enthusiasts
Individuals passionate
about technology, whether for
profession or hobby.
Join the AIoT Bootcamp and open doors to an endless world of possibilities. With us, you can gain:
Program Highlights
Target Audience

Professionals from various fields including IT, finance, legal, and administration seeking to automate document-intensive processes and extract valuable insights.
Curriculum Design

Our curriculum is designed to provide a comprehensive understanding of Intelligent Document Processing (IDP) technologies and their practical applications across industries.
Hands-on Learning

Gain practical experience in building end-to-end IDP solutions under the guidance of industry experts with a proven track record in document automation.
About the Bootcamp
Industrial AIoT Bootcamp | Cohort 03: Intelligent Document Processing
This module provides a comprehensive overview of Intelligent Document Processing (IDP) technologies, including document types, data extraction techniques, automation tools, and industry-specific applications. Participants will gain a deep understanding of IDP concepts, learn how to design and implement document processing pipelines, and acquire hands-on experience with real-world document datasets.
Module Plans for Cohort 3
Cohort 03 | Week 01
Lecture :
Information extraction from multiple types of documents.
Hands-on :
- Setting up a basic PaddleOCR pipeline
- Extraction printed documents with paragraphs like thesis
- Extraction forms, and bills.
- Extraction of printed Characters.
- Extraction of different languages.
Cohort 03 | Week 02
Lecture :
Document classification and layout identification for Medical documents
Hands-on :
- Setting up the pipeline for classification and layout detection
- Fine tuning Classification model for medical bill data
- Building own classification model with VGG19
- Layout analysis using paddle ocr pp structure
- Example: Medical bill applications
Cohort 03 | Week 03
Lecture :
Table extraction and Validation for Bank statements
Hands-on :
- Setting up a pipeline for table extraction and validation (Checksum)
- Fine-tuning microsoft table tranformers using a banking application example
- Problems related to unstructured table data
- Solution for extracting unstructured table data
Cohort 03 | Week 04
Lecture :
Extracting key values for Invoices
Hands-on :
- Key extraction examples using an invoice application
Cohort 03 | Week 05
Lecture :
LLM applications in document understanding
Hands-on :
- LLM/VLM/LMM -based data extraction examples
Cohort 03 | Week 06
Lecture :
Combining all in one application
Hands-on :
- Building an application that combines all the technologies learned so far
Cohort 03 | Week 07
Lecture :
Deploying to the live environment - Part 1
Hands-on :
- Combining the application pipeline behind an API
Cohort 03 | Week 08
Lecture :
Deploying to the live environment - Part 2
Hands-on :
- Example using MLOps technologies in document understanding
Cohort 03 | Week 09-10
Lecture :
Capstone Project (Develop a complete document understanding solution from OCR to deployment.)
Hands-on :
- Capstone Project: Comprehensive Document Understanding System Development
- Collaborative Learning: Team-based project implementation
Cohort 03 | Week 01
Lecture :
Information extraction from multiple types of documents.
Hands-on :
- Setting up a basic PaddleOCR pipeline
- Extraction printed documents with paragraphs like thesis
- Extraction forms, and bills.
- Extraction of printed Characters.
- Extraction of different languages.
Cohort 03 | Week 02
Lecture :
Document classification and layout identification for Medical documents
Hands-on :
- Setting up the pipeline for classification and layout detection
- Fine tuning Classification model for medical bill data
- Building own classification model with VGG19
- Layout analysis using paddle ocr pp structure
- Example: Medical bill applications
Cohort 03 | Week 03
Lecture :
Table extraction and Validation for Bank statements
Hands-on :
- Setting up a pipeline for table extraction and validation (Checksum)
- Fine-tuning microsoft table tranformers using a banking application example
- Problems related to unstructured table data
- Solution for extracting unstructured table data
Cohort 03 | Week 04
Lecture :
Extracting key values for Invoices
Hands-on :
- Key extraction examples using an invoice application
Cohort 03 | Week 05
Lecture :
LLM applications in document understanding
Hands-on :
- LLM/VLM/LMM -based data extraction examples
Cohort 03 | Week 06
Lecture :
Combining all in one application
Hands-on :
- Building an application that combines all the technologies learned so far
Cohort 03 | Week 07
Lecture :
Deploying to the live environment - Part 1
Hands-on :
- Combining the application pipeline behind an API
Cohort 03 | Week 08
Lecture :
Deploying to the live environment - Part 2
Hands-on :
- Example using MLOps technologies in document understanding
Cohort 03 | Week 09-10
Lecture :
Capstone Project (Develop a complete document understanding solution from OCR to deployment.)
Hands-on :
- Capstone Project: Comprehensive Document Understanding System Development
- Collaborative Learning: Team-based project implementation
Expected Outcomes of Cohort 3
Comprehensive understanding of Intelligent Document Processing (IDP) concepts and technologies.
Proficiency in applying Big Data concepts to real-world scenarios.
Expertise in document extraction, classification, and data extraction tools and platforms.
Access to industry best practices and case studies in IDP.
Confidence in building and deploying IDP solutions.
Networking opportunities with industry professionals.
Certificate of Completion.
Prerequisites for Cohort 3
Expected to dedicate 8-10 hours per week to complete the bootcamp.
Engage themselves in 2-hour hands-on sessions every Saturday, with options at 3 PM-5 PM or 7 PM-9 PM (attendance is mandatory).
Expected to deepen their understanding with dedicated 1-hour Q&A sessions every Sunday from 8 PM to 9 PM.
Basic understanding of data and document formats (e.g., PDF, Word, Excel) is preferred.
Apply and join BootCamp in 5 easy steps
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Frequently Asked Questions
Have questions about how our solutions work or how they can support your daily operations? This FAQ section provides simple and clear answers to help you understand everything you need in one place.
Most bootcamps offer an intensive learning experience that packs a lot of information into 12 short weeks. You can remotely attend the IDP Bootcamp part-time.
The Bootcamp is 100% industrial application-oriented. Therefore, it will be challengingly different from a conventional course module.
The courses will be conducted on a dedicated Moodle LMS platform
TThe bootcamp provides all the necessary industrial skills required to develop an industrial-standard IDP project.
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