Overview
There are billions of physical devices all around us that are connected to the internet, collecting and sharing different kinds of data all the time. These connected devices comprise the Internet of Things, one of the most promising technologies of Industry 4.0. Internet of Things is making the world a smarter and more responsive place, merging the digital and physical universes.
Industrial Internet of Things or IIoT is build on the concept of IoT. IIoT, often also referred to as Industrial Internet is a digital ecosystem of connected machines, equipment, and devices that can communicate with each other. This cyber-physical system with machine-to-machine communication monitors and evaluates the physical processes to de-centralize the decision-making process.
IIoT brings together critical assets, advanced predictive and prescriptive analytics, and is changing the way industries operate. In such competitive times, upskilling oneself in IIoT can provide a major thrust for one’s career. Cognixia’s IIoT online training covers important concepts of industrial automation – both PLC and SCADA. It discusses sensor data mining, wireless sensor area networks (WSAN), smart factories, industrial cloud platforms, while also shedding light on Industrial IoT security. The IIoT certification course also gives participants hands-on experience in the field with practical assignments and labs. The IIoT certification course ensures participants to gain a thorough understanding of all concepts discussed during the sessions.
What You'll Learn
- Introduction to Industrial Internet of things
- Industrial automation: PLC and SCADA
- Sensor data mining and analytics
- Wireless Sensor Area Network (WSAN)
- Design and development of IIoT systems
- Industry 4.0: Smart factory initiative
- Industrial cloud platforms
- Industrial IoT security
- Live project: Real-time data acquisition of sensor data with backup in external memory
- Live project: Controlling industrial devices with IoT HTTP protocol using IoT web portal control
- Live project: IIoT monitoring of industrial sensors with timestamp & data analysis to improve efficiency
- Live project: IIoT-based prepaid energy meters
- Live project: Data loss recovery system for IIoT data acquisition systems
Curriculum
- Embedded systems & computer networks
- Machine-to-machine (M2M) communication
- Internet of Everything (IoE)
- Machine learning & artificial intelligence
- Distributed computing
- Industrial automation
- Interoperability, identification localization, communication, and software-defined assets
- Evolution of IIoT – understanding the IT & OT convergence
- OT components like Industrial control systems, PLC, SCADA, and DCS
- IT components like hardware, software, and people processes
- Adoption of IIoT
- Market trends and opportunities in IIoT
- History of automation – plants to parts
- Knowledge discovery process
- The DIKW (Data, Information, Knowledge, and Wisdom) pyramid and its relevance in IoT
- PLC vs. Microcontrollers
- Commercial microcontroller-based development boards
- Industrial networks
- Machine-to-machine networks
- Transducers: Sensors & actuators
- Data acquisition, storage, and analytics
- Real-time analytics
- Understanding the differences between IoT and Big Data
- Improving operational efficiency with IoT
- Edge analytics & data aggregation
- Sensor nodes
- WSN communication technology
- Fundamentals and applications of Bluetooth, Zigbee, and WiFi
- Fundamentals and applications of Cellular communication and LPWAN technology
- IIoT reference architectures
- Standardization initiatives
- Interoperability issues
- Industrial internet reference architecture from Industrial Internet Consortium (IIC)
- IIoT design considerations
- Centralized vs. distributed architectures
- Industrial networks, communication technologies, protocols
- Industrial gateways
- Commercial gateways by Intel and Cisco
- Cloud-based gateway solutions
- IaaS, PaaS, and SaaS models
- Cloud components and services
- Device management, databases, visualization, and reporting
- Notification management
- Security management
- Cloud resource monitoring and management
- AWS IoT
- Microsoft Azure IoT
- GE Predix
- PTC Thingworx
- Common vulnerabilities
- Attack surfaces
- Hardware & software solutions
- Open-source initiatives
- Device applications & OS hardening
- Network and protocol security features
- Cloud security
Who should attend
- Front-end developers
- Field engineers
- Digital product owners
- IoT solutions architects
- Machine learning developers
- Application engineers
- Validation engineers
- Embedded system specialists
- IoT developers
- Cloud solution architects
- IoT device management engineers
Prerequisites
FAQs
This course would be a perfect fit for –
- Front-end developers
- Field engineers
- Digital product owners
- IoT solutions architects
- Machine learning developers
- Application engineers
- Validation engineers
- Embedded system specialists
- IoT developers
- Cloud solution architects
- IoT device management engineers