Industrial Internet of Things (IIoT)

Course Code: 0118

Industrial Internet of Things (IIoT)

Learn about using Internet of Things in industrial settings

Course Code : 0118

Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Who should attend
Certification

Overview

By 2030, it is estimated that IIoT, if implemented successfully, will lead to a growth of about $12 trillion of the global GDP.

Cognixia’s Industrial Internet of things training program discusses building robust connected devices and effectively working with them in the industrial setting, while also talking about the dynamics of the IoT market and its trends. The course focuses on providing hands-on training to plan, design, architect, and implement industrial IoT solutions.

Since IIoT works in convergence with many other technological disciplines, Cognixia’s Industrial Internet of Things training program specifically focuses on this aspect and provides practical training on the deployment and convergence of IoT and connected devices in an industrial environment.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 8 days

Live Virtual Classroom
Duration: 8 days

What You'll learn

Introduction to Industrial Internet of Things
Working with PLC and SCADA
Using Sensor data mining and analytics
Working with Wireless sensor area networks (WSAN)
Designing and developing various IIoT systems
The Smart factory initiative
Various Industrial cloud platforms
Overview of Industrial IoT security

Outline

Module 1: Introduction to Industrial Internet of Things

Concepts and definitions
OT components – Industrial control systems, PLC, SCADA, DCS
Market statistics, early adopters, roadmap
Use-cases

Module 2: Industrial automation – PLC and SCADA

History and evolution of automation – Plants to parts
Concept of data, information, knowledge and wisdom
PLC vs micro-controllers – cost, performance and power consumption
Industrial networks, M2M networks

Module 3: Sensor data mining and analytics

Transducer – Sensor and Actuator
Data acquisition, storage and analytics
Real time analytics
Edge analytics

Module 4: Wireless Sensor Area Networks (WSAN)

Sensor nodes
WSN communication technologies
Applications

Module 5: Design and development of IIoT systems

IIoT reference architectures
IIoT design considerations
Networks, communication technologies and protocols

Module 6: Industry 4.0 – Smart factory initiative

Product, process and people integration
Smart factories and cyber physical systems
Design principles
Challenges

Module 7: Industrial Cloud Platforms

Industrial gateways
Commercial gateway solutions from Intel, Cisco
Cloud-based gateway solutions
IaaS, PaaS and SaaS models
Cloud components and services
Device management, databases, visualization, reporting, notification/alarm management, security management, cloud resource monitoring and management
Example platforms – AWS IoT and Microsoft Azure
Overview of GE Predix and PTC Thingworx

Module 8: Industrial IoT security

Standards and best practices
Common vulnerabilities
Attack surfaces
Hardware and software solutions
Open source initiatives
Device (Application and OS hardening)
Network and protocol security features
Cloud security

Prerequisites

There are no prerequisites for this training program.

Who Should Attend

Cognixia’s Industrial Internet of Things (IIoT) course is highly recommended for current and aspiring –

Instrumentation engineers
Industrial automation engineers
Professionals and entrepreneurs keen to make their industrial processes and systems more efficient using IoT
Electrical and electronic engineers
Solution architects
Embedded engineers with experience on development boards

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Certification

Participants will be awarded with an exclusive certificate upon successful completion of the program. Every learner is evaluated based on their attendance in the sessions, their scores in the course assessments, projects, etc. The certificate is recognized by organizations all over the world and lends huge credibility to your resume.