Intelligent Digital Factories
$49
ENROLL NOWCourse Overview
What You'll Learn
- 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.
- 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.,
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.,
Course FAQs
Is this an accredited online course?
Accreditation for 'Intelligent Digital Factories' is determined by the provider, L&T EduTech. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Intelligent Digital Factories' on the L&T EduTech online class platform, where you can complete your registration.
