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.



Who can benefit from it?

Anyone willing to improve their skillset:

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Seniors and
Experts

Individuals with several years
of professional experience,
or Individuals doing MSc in
Machine Learning

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Professionals from
Industry

Diverse industry professionals
seeking to integrate Intelligent
Document Processing in
their applications.

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Creators with
Ideas

Entrepreneurs and innovators
who wish to bring their
ideas to life.

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IT and
Tech Enthusiasts

Individuals passionate
about technology, whether for
profession or hobby.

Be a trailblazer in Intelligent Document Processing

Join the AIoT Bootcamp and open doors to an endless world of possibilities. With us, you can gain:

Networking opportunities to connect with fellow participants, industry experts, and potential collaborators.
Exclusive access to SenzMate's document processing resources, tools, and datasets to support your learning.
Hands-on experience in building and deploying intelligent document processing solutions
Access to SenzMate's deep expertise in document automation and data extraction.
BootCamp Program

Program Highlights

Target Audience

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

Curriculum Design

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

Hands-on Learning

Innvate

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

  • 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 01

  • 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 02

  • 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 03

  • Lecture :

    Extracting key values for Invoices

    Hands-on :

    • Key extraction examples using an invoice application

    Cohort 03 | Week 04

  • Lecture :

    LLM applications in document understanding

    Hands-on :

    • LLM/VLM/LMM -based data extraction examples

    Cohort 03 | Week 05

  • Lecture :

    Combining all in one application

    Hands-on :

    • Building an application that combines all the technologies learned so far

    Cohort 03 | Week 06

  • Lecture :

    Deploying to the live environment - Part 1

    Hands-on :

    • Combining the application pipeline behind an API

    Cohort 03 | Week 07

  • Lecture :

    Deploying to the live environment - Part 2

    Hands-on :

    • Example using MLOps technologies in document understanding

    Cohort 03 | Week 08

  • 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 09-10

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

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Comprehensive understanding of Intelligent Document Processing (IDP) concepts and technologies.

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Proficiency in applying Big Data concepts to real-world scenarios.

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Expertise in document extraction, classification, and data extraction tools and platforms.

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Access to industry best practices and case studies in IDP.

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Confidence in building and deploying IDP solutions.

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Networking opportunities with industry professionals.

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Certificate of Completion.

Prerequisites for Cohort 3

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Expected to dedicate 8-10 hours per week to complete the bootcamp.

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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).

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Expected to deepen their understanding with dedicated 1-hour Q&A sessions every Sunday from 8 PM to 9 PM.

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Basic understanding of data and document formats (e.g., PDF, Word, Excel) is preferred.

How to enroll

Apply and join BootCamp in 5 easy steps

Kickstart your journey by expressing your interest in joining the AIoT Bootcamp. Complete the application form to communicate your passion and career aspirations.
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After expressing your interest, our team will thoroughly review your application. Once selected, you'll receive a confirmation along with detailed information about the bootcamp.
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Participate in an orientation session where you'll get insights into the structure of the bootcamp, meet the instructors, and connect with fellow participants. This session sets the stage for a collaborative and engaging learning experience.
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Get hands-on with the basics! Our expert instructors will guide you through fundamental big data and IoT concepts, ensuring you have a strong foundation before delving into more advanced topics.
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Experience the practical side of big data and IoT! Engage in a collaborative project kickoff where you'll work on real-world applications. From concept to implementation, our team will support you every step of the way.
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Frequently Asked Questions



What is a IDP bootcamp like? ▼

  • 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
  • The bootcamp provides all the necessary industrial skills required to develop an industrial-standard IDP project.

How long does it take to complete IDP bootcamp? ▼

  • SenzMate's Intelligent Document Processing Bootcamp is a focused 12-week program crafted to equip you with the essential skills and knowledge needed to thrive in the rapidly evolving document automation landscape.
  • Our structured curriculum is designed to cater to both industry professionals seeking to upskill and newcomers eager to embark on a career in IDP. Through a hands-on and interactive learning approach, you'll gain practical experience and a deep understanding of the field.

How much do IDP bootcamps cost? ▼

  • The Bootcamp was designed , developed, and resourced by SenzMate AIoT Intelligence as a CSR project.
  • Therefore, the entire course module is completely free for the selected cohort members.

What are the skills needed for IDP? ▼

  • A strong foundation in data science, machine learning, and natural language processing is essential for IDP. Proficiency in programming languages like Python and R, as well as experience with OCR, NLP libraries, and document processing frameworks, is highly valued. Demonstrating practical experience through IDP projects, publications, or certifications significantly enhances your candidacy.

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