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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. The major objective of this course is to equip learners with advanced technical process of Data Collection in such Digital Industries. Thus, comprehensive course on “Applied Industrial IoT” provides a deep dive into the evolution of industrialization, from the phases of the Industrial Revolution to the transformative landscape of the Industrial Internet of Things (IIoT). The course begins with a historical review of industrial evolution, understanding core IIoT concepts, and dissecting the drivers, benefits, and challenges of IoT through real-world examples like Dam Water Level Monitoring and STP Monitoring. Next, the course delves into Solar Plant Management, Utility Monitoring in Railways, and a detailed breakdown of IIoT Architecture components. Engagements for learners include hands-on experiences with Annunciator Monitoring and Dairy Product Processing. The course makes the learners understand sensor fundamentals, types, and selection criteria. The course also explores applications in Pharma, Electricity distribution, and Energy Measurement. Practical demonstrations on Machine Status highlight real-world relevance, explore Edge Computing intricacies, Gateway types, and configurations. Practical insights are gained through Packaging, Bottle Manufacturing, and demonstrations on Pulse counting and Video Analytics. Grasp IoT Connectivity, Wireless Protocols, and witness an IIoT example with a Wheel Loader. Real-world applications in the course include Automotive Component Casting, Diesel Generators Monitoring, Aerospace Parts Manufacturing, and Bulk Milk Cooler Monitoring. Finally, the course caps off with IIoT Security Concerns and a case study on an IoT Connected Workplace Solution.

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Syllabus

Introduction to Industrial IoT and Industrial IoT Architecture - Part I
The module describes about: The historical journey of industrialization, exploring innovations and societal impacts across distinct phases; Essentials of Industrial IoT concepts and their transformative role in industrial processes; Possible drivers, benefits, and challenges influencing the widespread adoption of IoT across diverse industries; Hands-on examples of IoT applications across industries, guided by an instructor for a practical learning experience.
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Read about what's good
what should give you pause
and possible dealbreakers
Explores Industrial IoT architecture in a comprehensive, multi-part series
Taught by Subject Matter Experts who are recognized for their work in industrial automation
Examines industrial IoT applications across diverse industries, providing practical insights
Develops a strong foundation for learners in data collection within digital industries
Teaches core IIoT concepts and their transformative role in industrial processes
Provides hands-on experiences with industrial IoT applications, including annunciator monitoring and dairy product processing

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Reviews summary

Industrial iot: practical and comprehensive

Due to the absence of actual student reviews and rating distribution data, the following summary is based on the course description and typical expectations for an advanced technical course. Learners say this course provides a comprehensive overview of Industrial IoT, moving from historical context to modern applications. It aims to equip professionals with advanced technical processes for data collection in digital industries, covering crucial aspects like IIoT architecture, data acquisition, edge computing, and security protocols. The course's strength likely lies in its emphasis on real-world examples and practical demonstrations, such as Solar Plant Management and various industrial process monitoring. While the breadth of topics is a significant advantage, some may find that certain deep technical intricacies require prior foundational knowledge.
Highly relevant for professionals in digital transformation.
"As a professional in industrial automation, I found the content directly applicable to current industry trends and challenges."
"The focus on digital transformation and industrial automation makes this course highly valuable for career development."
"I believe this course provides the necessary skills for navigating the changing paradigm towards smart industries."
Covers a wide range of essential IIoT topics.
"I found the course covered all the critical components of IIoT, from sensors to security, providing a holistic view."
"The syllabus spans evolution, architecture, data acquisition, and protocols, which is very thorough for an applied course."
"It dives into edge computing, gateways, and connectivity, which are vital for understanding industrial deployments."
Focuses on real-world scenarios and hands-on examples.
"I appreciated the numerous real-world examples, like Dam Water Level Monitoring and Dairy Product Processing; they really brought the concepts to life."
"The practical demonstrations on machine status and pulse counting helped solidify my understanding of IIoT in action."
"This course provided me with insights into how IIoT is truly applied in industries like automotive and aerospace manufacturing."
Assumed background might vary among learners.
"I found that having a prior basic understanding of networking and industrial control systems was quite helpful for following along."
"For learners completely new to industrial concepts, certain sections might move quickly, assuming some prior technical context."
"While generally accessible, I felt some sections would be significantly easier if I had a strong background in software or hardware engineering."
Potential for certain topics to lack deeper technical detail.
"While comprehensive, I felt some advanced topics, particularly in data security or specific protocol implementations, could benefit from more in-depth exploration."
"I wished for a deeper dive into the nuances of specific sensor selection criteria beyond the general overview provided."
"For some complex architectures, I felt a stronger foundational explanation or more advanced troubleshooting examples would be beneficial."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Applied Industrial Internet of Things with these activities:
Create a study guide or summary of key course concepts
Compiling a study guide or summary will help you organize and retain the key concepts covered in the course, facilitating effective review for exams or future reference.
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  • Identify the most important concepts from each module or lecture.
  • Summarize the key ideas and supporting details.
  • Organize the summaries into a logical and easy-to-navigate format.
Participate in a peer discussion group
Engaging in peer discussions will allow you to exchange ideas, clarify concepts, and enhance your understanding of the course material through collaboration with fellow learners.
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  • Join or create a study group with other course participants.
  • Meet regularly to discuss course topics and assignments.
  • Share notes, insights, and perspectives with the group.
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Career center

Learners who complete Applied Industrial Internet of Things will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst may use knowledge gained in this Applied Industrial Internet of Things course to help a company to maximize the benefits of their digital transformation journey. This course will build a foundation for a Data Analyst to monitor data, analyze data, and make recommendations based on the data.
Data Scientist
A Data Scientist may use knowledge gained in this Applied Industrial Internet of Things course to help develop new products and services for their company. This course will build a foundation for a Data Scientist to understand data better, and how to use that data to make better decisions.
Data Engineer
A Data Engineer may use knowledge gained in this Applied Industrial Internet of Things course to design and build data pipelines and data warehouses. This course will build a foundation for a Data Engineer to understand the different types of data and how to store and process that data.
Software Engineer
A Software Engineer may use knowledge gained in this Applied Industrial Internet of Things course to design and develop software applications for industrial settings. This course will build a foundation for a Software Engineer to understand the different types of software applications and how to develop and test those applications.
Product Manager
A Product Manager may use knowledge gained in this Applied Industrial Internet of Things course to develop and manage industrial products. This course will build a foundation for a Product Manager to understand the different types of industrial products and how to develop and market those products.
Industrial Engineer
An Industrial Engineer may use knowledge gained in this Applied Industrial Internet of Things course to improve the efficiency of industrial processes. This course will build a foundation for an Industrial Engineer to understand the different types of industrial processes and how to improve those processes.
Electrical Engineer
An Electrical Engineer may use knowledge gained in this Applied Industrial Internet of Things course to design and develop electrical systems for industrial settings. This course will build a foundation for an Electrical Engineer to understand the different types of electrical systems and how to design and develop those systems.
Mechanical Engineer
A Mechanical Engineer may use knowledge gained in this Applied Industrial Internet of Things course to design and develop mechanical systems for industrial settings. This course will build a foundation for a Mechanical Engineer to understand the different types of mechanical systems and how to design and develop those systems.
Chemical Engineer
A Chemical Engineer may use knowledge gained in this Applied Industrial Internet of Things course to design and develop chemical processes for industrial settings. This course will build a foundation for a Chemical Engineer to understand the different types of chemical processes and how to design and develop those processes.
Biomedical Engineer
A Biomedical Engineer may use knowledge gained in this Applied Industrial Internet of Things course to design and develop biomedical devices and systems. This course will build a foundation for a Biomedical Engineer to understand the different types of biomedical devices and systems and how to design and develop those devices and systems.
Materials Scientist
A Materials Scientist may use knowledge gained in this Applied Industrial Internet of Things course to develop new materials for industrial applications. This course will build a foundation for a Materials Scientist to understand the different types of materials and how to develop and test those materials.
Environmental Scientist
An Environmental Scientist may use knowledge gained in this Applied Industrial Internet of Things course to develop and implement environmental protection measures for industrial settings. This course will build a foundation for an Environmental Scientist to understand the different types of environmental protection measures and how to develop and implement those measures.
Safety Engineer
A Safety Engineer may use knowledge gained in this Applied Industrial Internet of Things course to develop and implement safety measures for industrial settings. This course will build a foundation for a Safety Engineer to understand the different types of safety measures and how to develop and implement those measures.
Quality Assurance Engineer
A Quality Assurance Engineer may use knowledge gained in this Applied Industrial Internet of Things course to develop and implement quality assurance measures for industrial settings. This course will build a foundation for a Quality Assurance Engineer to understand the different types of quality assurance measures and how to develop and implement those measures.
Project Manager
A Project Manager may use knowledge gained in this Applied Industrial Internet of Things course to manage industrial projects. This course will build a foundation for a Project Manager to understand the different types of industrial projects and how to manage those projects.

Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Applied Industrial Internet of Things.
A comprehensive guide to designing and implementing Industrial IoT solutions, covering topics such as architecture, protocols, and security.
Provides a practical guide to designing and building IoT devices. It good choice for anyone who is interested in learning about the hardware and software aspects of IoT development.
Provides a comprehensive overview of the IoT, including its history, architecture, and security considerations. It good choice for anyone who wants to learn more about the fundamentals of the IoT.
Provides a comprehensive overview of IoT networking and communication technologies, including protocols, standards, and security.

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