COURSE OUTLINE: Industry 4.0 concerns the transformation of industrial processes through the integration of modern technologies such as sensors, communication, and computational processing. Technologies such as Cyber-Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, and Data Analytics are considered to be the different drivers necessary for the transformation. Industrial Internet of Things (IIoT) is an application of IoT in industries to modify the various existing industrial systems. IIoT links the automation system with enterprise, planning and product lifecycle.
Introduction to Industry 4.0 and Industrial Internet of Things
NPTEL and Indian Institute of Technology, Kharagpur via YouTube
Overview
Syllabus
Introduction to Industry 4 0 and Industrial Internet of Things.
Lecture 01 : Introduction : Sensing and Actuation.
Lecture 02 : Introduction : IoT Connectivity - Part I.
Lecture 03 : Introduction : IoT Connectivity - Part II.
Lecture 04 : Introduction : IoT Networking - Part I.
Lecture 05 : Introduction : IoT Networking - Part II.
Lecture 06 : Industry 4.0: The Fourth Revolution.
Lecture 07 : Industry 4.0: Sustainability Assessment of Manufacturing Industry.
Lecture 08 : Industry 4.0: Lean Production System.
Lecture 09 : Industry 4.0: Smart and Connected Business Perspective.
Lecture 10 : Industry 4.0: Smart Factories.
Lecture 11 : Industry 4.0: Cyber-Physical Systems and Next-Generation Sensors.
Lecture 12 : Industry 4.0: Collaboration Platform and Product Lifecycle Management.
Lecture 13 : Industry 4.0: Augmented Reality and Virtual Reality.
Lecture 14 : Industry 4.0: Artificial Intelligence.
Lecture 15 : Industry 4.0: Big Data and Advanced Analysis.
Lecture 16 : Industry 4.0: Cybersecurity.
Lecture 17 : Basics of Industrial IoT: Introduction.
Lecture 18 : Basics of Industrial IoT: Industrial Internet Systems.
Lecture 19 : Basics of IIoT: Industrial Sensing & Actuation.
Lecture 20 : Basics of Industrial IoT: Industrial Processes – Part 1.
Lecture 21 : Basics of Industrial IoT: Industrial Processes – Part 2.
Lecture 22 : Business Models and Reference Architecture for IIoT: Business Models – Part 1.
Lecture 23 : Business Models and Reference Architecture for IIoT: Business Models – Part 2.
Lecture 24 : Business Models and Reference Architecture for IIoT: Reference Architecture – Part 1.
Lecture 25 : Business Models and Reference Architecture for IIoT: Reference Architecture – Part 2.
Lecture 26 : Key Enablers of Industrial IoT: Sensing-Part 1.
Lecture 27 : Key Enablers of Industrial IoT: Sensing-Part 2.
Lecture 28 : Key Enablers of Industrial IoT: Connectivity-Part 1.
Lecture 29 : Key Enablers of Industrial IoT: Connectivity-Part 2.
Lecture 30 : Key Enablers of Industrial IoT: Connectivity-Part 3.
Lecture 31: Key Enablers of Industrial IoT: Connectivity – Part 4.
Lecture 32: Key Enablers of Industrial IoT: Connectivity – Part 5.
Lecture 33: Key Enablers of Industrial IoT: Processing – Part 1.
Lecture 34: Key Enablers of Industrial IoT: Processing – Part 2.
Lecture 35: Key Enablers of Industrial IoT: Process Control.
Lecture 36 : IIoT Analytics and Data Management: Introduction.
Lecture 37 : IIoT Analytics and Data Management: Machine Learning and Data Science – Part 1.
Lecture 38 : IIoT Analytics and Data Management: Machine Learning and Data Science – Part 2.
Lecture 39: IIoT Analytics and Data Management: Cloud Computing in IIoT – Part 1.
Lecture 40 : IIoT Analytics and Data Management: Cloud Computing in IIoT – Part 2.
Lecture 41 : Analytics and Data Management: Fog Computing in IIoT.
Lecture 42: IIoT Analytics and Data Management: Tutorial for R & Julia Programming.
Lecture 43 : IIoT Analytics and Data Management: Data Management with Hadoop.
Lecture 44 : IIoT Analytics and Data Management: Data Center Networks.
Lecture 45 : Advanced Technologies: Software-Defined Networking (SDN) in IIoT – Part 1.
Lecture 46 : Advanced Technologies: Software-Defined Networking (SDN) in IIoT – Part 2.
Lecture 47 : Advanced Technologies: Security in IIoT – Part 1.
Lecture 48 : Advanced Technologies: Security in IIoT – Part 2.
Lecture 49 : IIoT Applications: Factories and Assembly Line.
Lecture 50 : IIoT Applications: Food Industry.
Lecture 51 : IIoT Applications: Healthcare.
Lecture 52 : IIoT Applications: Power Plants.
Lecture 53 : IIoT Applications: Inventory Management & Quality Control.
Lecture 54 : IIoT Applications: Plant Security and Safety.
Lecture 55 : IIoT Applications: Facility Management.
Lecture 56 : IIoT Applications: Oil, Chemical and Pharmaceutical Industry.
Lecture 57 : IIoT Applications: UAVs in Industries.
Lecture 58 : Case Studies for Industry 4.0 & IIoT.
Lecture 59 : Milk Processing and Packaging Industries.
Lecture 60 : Manufacturing Industries - Part I.
Lecture 61 : Manufacturing Industries - Part II.
Lecture 62 : Student Projects - Part I.
Lecture 63 : Student Projects - Part II.
Lecture 64 : Virtual Reality Lab.
Lecture 65 : Steel Technology Lab.
Taught by
IIT Kharagpur July 2018
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Reviews
4.0 rating, based on 3 Class Central reviews
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Rabbani BashaI recently completed the course "Introduction to Industry 4.0 and Industrial Internet of Things," and I must say it was an eye-opening experience. This course provides a comprehensive overview of the cutting-edge technologies and concepts that are r… -
This was a very informative course and I have gained immensely. I would encourage anyone intending to be conversant with Industry 4.0 to enroll in this course. Also, I would encourage organizations to encourage their staff to enroll in the course too. Thanks
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Nikhil ShintreCovered various aspects of the topic - including the sensor to acquire data, networks to transfer the data and the storage / computation infrastructure.
Good introductory sessions to get started with the topic.
