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Intelligent Digital Factories

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To promote the engineering skills required for Digital Factories, this proposed specialization on Intelligent Digital Factories offer the learners with strong fundamentals of the microcontrollers covering the (a) hardware and software architectures (b) programming (c) debugging strategies and (d) hands-on exposures in developing typical Industrial applications using a user-friendly microcontroller development board. The learners get an opportunity to explore EdSim51 simulator, development boards like Arduino UNO, ESP 8266 and ESP 32 with Industry examples and integration strategies with simulated GSM and Cloud networks.

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To promote the engineering skills required for Digital Factories, this proposed specialization on Intelligent Digital Factories offer the learners with strong fundamentals of the microcontrollers covering the (a) hardware and software architectures (b) programming (c) debugging strategies and (d) hands-on exposures in developing typical Industrial applications using a user-friendly microcontroller development board. The learners get an opportunity to explore EdSim51 simulator, development boards like Arduino UNO, ESP 8266 and ESP 32 with Industry examples and integration strategies with simulated GSM and Cloud networks.

The captured and processed data are transmitted and stored in cloud and promote business intelligence. This part of IoT component is presented along with various Industry IoT Solutions like Sewage Treatment Plant, Packaging Industry, Processing of Dairy Products etc., Later, the next component of specialization promotes skills of AI algorithms - Supervised, Unsupervised, Reinforced, Neural Networks etc., along with Edge Computing strategies like Pruning, Tiny ML etc., like Predicting House Price, EV vehicle purchase decision, Lung cancer prediction, Fault Diagnosis etc.,

Finally, the specialization guides the learners with AI applications in real-world problems of Engineering in Electrical, Mechanical and Civil domains like monitoring of Substations, Oil and Gas exploration, Construction site safety etc.,

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What's inside

Four courses

Microcontroller and Industrial Applications

Today, there is a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries.

Applied Industrial Internet of Things

Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries.

AI Principles with Edge Computing

With the paradigm shift of Digital Transformation in industries, this course aims to equip learners with various strategic principles of Artificial Intelligence theory which helps to extract information from available data.

Industrial Applications of AI

The course explores the power of Artificial Intelligence across diverse fields such as electrical, mechanical, civil, and general applications. It elevates the learner’s insight on AI towards the real-world practices by bridging the gap between theory and practical applications. It also provides hands-on experience of applying AI algorithms into potential applications.

Learning objectives

  • will be able to choose iot sensors, controllers and gateways if any
  • will be able to configure and program the iot devices
  • can choose the suitable ai model
  • can deploy the ai model and do analytics

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