The major impact of IoT can be seen in the industrial sector, with the industries all over the globe moving toward Industry 4.0, IoT is playing a major role in the 4th industrial revolution. The most revolutionary technology in the Industrial sector today is IIoT.

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What You'll learn

  • Introduction to Industrial Internet of Things
  • Industrial automation: PLC and SCADA
  • Sensor Data Mining and Analytics
  • Wireless Sensor Area Networks (WSAN)
  • Design and Development of IIoT systems
  • Industry 4.0: Smart factory initiative
  • Industrial cloud platforms
  • Industrial IoT security


  • Concept and definitions
    • Embedded Systems, Computer Networks, M2M (Machine to Machine Communication), Internet of Everything (IoE), Machine Learning, Distributed Computing, Artificial Intelligence, Industrial automation
    • Interoperability, Identification, localization, Communication, Software Defined Assets
    • Understanding IT and OT convergence: Evolution of IIoT
  • OT Components: Industrial control system, PLC, SCADA, DCS
    • IT Components: Hardware, Software, People ,Processes
    • IIoT Adoption
  • Market statistics, Early adopters, Roadmap
    • Business opportunities: Product + Service model
    • Development, deployment and monetization of applications as service
  • Use cases
  • History and evolution of automation: Plants to Parts
  • Concept of Data, Information, Knowledge and Wisdom
    • Knowledge discovery process
    • DIKW pyramid and relevance with IoT
  • PLC vs Microcontrollers: cost, performance, and power consumption
    • Commercial microcontroller based development boards
    • Selection criteria and tradeoffs
  • Industrial networks, M2M networks
  • Transducer: Sensor and Actuator
    • Sensors – Types of sensors, sampling, analog to digital conversion, selection criteria of sensor and ADC
  • Data acquisition, storage and analytics
  • Real time analytics
    • Understanding fundamental nuances between IoT and Big data
    • Usage of IoT data in various business domains to gain operational efficiency
  • Edge analytics
    • Data Aggregation on Edge gateway
  • Sensor nodes
  • WSN communication technologies
    • Bluetooth, Zigbee and WiFi
    • Cellular communication and LPWAN technologies
  • Applications
  • IIoT reference architectures
    • Standardization initiatives
    • Interoperability issues
    • Industrial Internet Reference Architecture from Industrial Internet Consortium(IIC)
  • IIoT design considerations
    • Architectures Device, Network and Cloud
    • Centralized vs distributed architectures
  • Networks, communication technologies and protocols
  • Product, process and people integration
  • Smart factories and cyber physical systems
  • Design principles
  • Challenges
  • Industrial Gateways
  • Commercial Gateways solutions from Intel, Cisco
  • Cloud based Gateway solutions
  • IaaS, SaaS, PaaS models
  • Cloud components and services
  • Device Management, Databases, Visulization, Reporting, Notification/Alarm management, Security management, Cloud resource monitoring and management
  • Example platforms: AWS IoT, Microsoft Azure
  • Overview:  GE Predix and PTC Thingworx
    • AWS IoT Services
      • Device Registry
      •  Authentication And Authorization
      •  Device Gateway
      •  Rules Engine
      •  Device Shadow
    • Azure IoT
      •  Azure IoT Suit
      •  Azure IoT Hub
      •  Azure stream analytics
      •  Azure Power BI
      •  Pre-configured solutions: Connected factory and Remote monitoring

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


The course is recommended for anyone with basic computer skills who is keen to build a career in the field.

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Course features

Course Duration
Course Duration

16 hours of live, online, instructor-led training

24x7 Support
24x7 Support

Technical & query support round the clock

Lifetime LMS Access
Lifetime LMS Access

Access all the materials on LMS anytime, anywhere

Price Match Gurantee
Price match Gurantee

Guranteed best price aligning with quality of deliverables


Internet of Things has a huge scope of growth for IT professionals, electrical and electronics engineers, designers and solution architects. It is a blessing for existing and budding entrepreneurs who are interested in building smart solutions for their customers. Professionals working in sectors such as pharmaceuticals, real estate, sales, finance, designing, manufacturing, electrical equipment, retail, healthcare, etc. can also benefit from learning about IoT solutions. Fresh graduates and newcomers can also start their career on the right foot with an Internet of Things certification.

As part of this course, each participant is provided with a special IoT kit. The kit includes all the necessary parts and components to learn and perform practical exercises taught during as part of the course. This kit is shipped to the address you provide, and will reach you before the course starts.

The kit contains: Raspberry Pi 3, Arduino Mega (ATMega2560) with USB cable, Memory Card, HDMI – VGA Converter, 2A Power Adapter, Sensors – Analog temperature sensor (LM35), IR Proximity Sensor, Breadboard, LEDs, Resistors, Connecting leads, WiFi – ESP01, Bluetooth – HC05, NodeMCU

You’ll have lifetime access to our Learning Management System (LMS), including class recordings, presentations, sample code, and projects. You’ll also be able to view recordings of each session. We also have our technical support team ready to assist you with any questions you may have.