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We're here to help you find itIntroduction to Industrial Internet of Things (IIoT) Course Overview
The Industrial Internet of Things (IIoT) certification introduces concepts related to advanced industrial automation. It provides comprehensive knowledge about how Machine-to-machine communication, Big data, and machine learning technologies are harnessed to create "smart industries." These technologies enhance operational efficiency, improve safety regulations, and reduce costs in various industrial sectors like manufacturing, transportation, energy, or logistics. The certification is crucial for individuals and businesses aiming to understand and implement IIoT solutions effectively. Industries use IIoT for Predictive maintenance, Optimized asset utilization, automated inventory management, and Enhanced field services, among other applications.
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USD
View Fees Breakdown
Course Fee | 1,650 |
Total Fees |
1,650 (USD) |
USD
View Fees Breakdown
Course Fee | 1,400 |
Total Fees |
1,400 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The prerequisites for an Introduction to Industrial Internet of Things (IoT) training can vary depending on the course provider. However, the following are general prerequisites that one should consider before enrolling in the course:
1. Basic understanding of the Internet of Things (IoT) concepts: Understanding the basics of IoT, such as sensors, devices, networks, and platforms, is essential before diving into IoT.
2. Fundamentals of Networking and Data Communication: Knowledge of network communication, addressing systems, and protocols, such as TCP/IP and HTTP, is crucial.
3. Familiarity with Operating Systems: Proficiency in Linux/Unix and Windows operating systems will help learners understand IoT system implementation and manage the configuration of IoT devices.
4. Programming Skills: Programming knowledge, such as Python, C++, Java, or JavaScript, is essential to process and analyze data and implement custom solutions.
5. Familiarity with Industry 4.0 concepts: Since IoT is a key component of Industry 4.0, it is helpful to understand the basics of digital factories, process automation, and cybersecurity in the industrial context.
6. Basic knowledge of Industrial Control Systems: A basic understanding of industrial control systems, such as SCADA and PLC, can provide an edge when learning about IoT systems integration.
7. English Language Proficiency: Many IoT courses are conducted in English, so it is essential to have good written and verbal communication skills.
Some IoT training courses might have specific prerequisites, such as prior experience with certain hardware or software tools. It is always best to review the course requirements listed by the training provider before enrolling.
Introduction to Industrial Internet of Things (IoT) certification training is a comprehensive course designed to acquaint learners with the concepts, applications, and potential of IoT in various industries. This course covers general topics like the fundamentals of IoT, smart devices and connectivity solutions, data analytics and automation, edge computing, and IoT security measures. It also delves into industry-specific IoT applications, challenges, and opportunities, preparing students to leverage IoT technologies and drive efficiency in their respective fields.
The Industrial Internet of Things (IoT) is revolutionizing the manufacturing and industrial sectors by providing real-time insights, streamlining operations, and enhancing productivity. By learning IoT, individuals can gain expertise in interconnected smart devices and data analytics, making them valuable assets in today's competitive job market, improving efficiency, and driving innovation in their workplaces.