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IIoT Overview
ONLINE
$13.99
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Manufacturing Digitization Management
ONLINE
$285
View Course
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OT-IT Integration
LIVE . ONLINE
$674
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Futuristic business investment information technology
Industrial Data Science
LIVE . ONLINE
$405
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Program Highlights

The online programme includes video lectures, discussions, live online teaching sessions and assignments. We expect learners to dedicate 4 – 6 hours per week over the 10 weeks of the programme. Throughout the programme, we will explore the industrial digitization, from what it is and where to start it, to how to implement it, new strategies of digital revolution.

Technology Deep Dive

From overview of Industrial IoT to the components involved and its management

Inspiration to Implementation

Understanding the Industrial digitization, Manufacturing use cases and prioritizing it for effective data-driven manufacturing

Data Science Tools

Learn about the various modelling tools for data-driven decisions and process improvement

Physical & Digital World Integration

Get to know about how the physical systems in the industries get integrated to the digital software and driving business results

Learning Framework

The Factory Science learning methodology is built on Kolb’s Learning Styles and Experiential Learning Cycle concept. According to Kolb's learning model, the learning framework is seggregated into Experience, Learn and Adapt.

Experience In this phase, one can have a live experience of the concept they learn and can feel it. Likewise case studies and assignments will be based on current industry challenges.

Learn In learn phase, one gets access to the e-learning platform where there are number of online courses with pre-recorded videos and live sessions. What one has experienced in the experience phase will learn the concepts here with practical examples and sessions.

Adapt Training has no value if the knowledge gained cannot be retrieved. In this phase, one will get to reinforce the knowledge they have gathered from the experience and learn phase during their training.


What Our Learners Say


  • R V S S Prasad Head marketing
    "Easy to use, very detailed and voice over with more details."
    R V S S Prasad Head marketing
    Pavani Engineers, India
  • Abdulaziz Baras Senior manager
    "Comprehensive and very informative content."
    Abdulaziz Baras Senior manager
    IC, Saudi
  • Vigneshwar Sharma, Student
    "It is a go-to material for any digitisation professional."
    Vigneshwar Sharma, Student
    Management development institute Murshidabad, India
  • Tushar Dhote Asst. Manager - ME
    "Good content, the UI was also good. Creative way of learning. Definitely lot of efforts have been taken by your team and the outcome has been exceptional."
    Tushar Dhote Asst. Manager - ME
    Blue Star Ltd, India
  • Surya Vamsi Miriyala, Manufacturing Engineer
    "My successful completion of The Factory Science - Manufacturing Digitization Management certification program helping me to understand the IIoT/Industry 4.0 concepts and technologies and I am able to relate well with my industry 4.0 projects."
    Surya Vamsi Miriyala, Manufacturing Engineer
    Caterpillar

Are you ready to upgrade your workforce skills for the factory of the future?

Your investment in this online learning and development program is $1217 only


Investment less than companies send their teams to a conference
Helps to close gaps in your strategy & create alignment across teams
Helps to identify, communicate & address pitfalls in digitization activities
Makes you proficient in managing complex digitization activities

What's Included in the Program

Features/Benefits

  • 100+ hours of online live session on Industrial Digitization
  • Hands-on Experience with the templates and tools to manage digitization
  • Access to digitization resources and knowledge base
  • Certificate of completion from The Factory Science
  • Connect with exclusive community of Manufacturing Digitization people and continue learning with member-only events


Try for your Organization

Your Complete Learning Package