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.
By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.
Strategic Application
- 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
- Integration of products, processes, and people
- Smart factories and cyber-physical systems
- Design principles
- Challenges on the path to be a smart factory
- 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
hands-on learning model
Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)
Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.
One of our specialists will contact you within one business day.
Asked Questions
Find details on duration, delivery formats, customization options, and post-program reinforcement.
The system of inter-related, internet-connected objects that can collect & transfer data over a wireless network without human intervention is called as Internet of Things. The personal and business opportunities presented by IoT are endless.
The extension and application of Internet of Things to industrial sectors focusing on machine-to-machine communication, big data, machine learning, and smart factories, is known as Industrial Internet of Things or IIoT.
The Industrial IoT market is expected to reach $263.4 billion by 2027 growing at a CAGR of 16.7% from 2020. APAC is considered the fastest-growing market for IIoT in the world. This has created and will continue to create an exponential requirement for skilled IIoT professionals.
Cognixia’s IIoT online certification course covers industrial automation – PLC and SCADA, sensor data mining, Wireless Sensor Area Networks (WSAN), design and development of IIoT systems, smart factories, Azure IoT, AWS IoT, Industrial IoT Security, and much more.
Cognixia’s IIoT online training & certification course will help you learn all the essential skills and best practices to build a successful career in IIoT. It begins by discussing basic-level concepts and then builds on them up to advanced-level IIoT concepts, paired with multiple practical assignments and labs to help all participants gain a thorough understanding of IIoT.
Yes! Once you complete all the IIoT training sessions and have cleared the end-term assessment, you will receive an IIoT Certificate from Cognixia validating the skills learned during the IIoT training.
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
No. Anybody with basic computer skills will eligible for this course.
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