Intelligent Digital Factories
About this course
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.,
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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What you'll learn
- fundamentals of microcontroller hardware and software
- programming and debugging microcontrollers
- use of EdSim51 simulator and development boards
- integration strategies with GSM and cloud networks
- application of AI algorithms in engineering problems
Course objectives
- to provide strong fundamentals of microcontrollers
- to enhance understanding of digital factory applications
- to explore industry-related IoT solutions
- to teach AI application strategies in electrical, mechanical, and civil engineering
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