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Advanced IoT

  • Schedule : 8 weeks
  • Who is this for: Professionals

Duration: 08:00 AM – 11:00 AM
Schedule: 8 weeks
Level: Advanced
Rs: 27,500

Course Overview

  • Gain expert-level knowledge of IoT technology and tools
  • Build a sound understanding of core concepts, background technologies, and the different features of the IoT landscape
  • Learn about sensors, microcontrollers and communication interfaces to design and build IoT devices
  • Obtain knowledge and skills to design and build a network based on the client server, as well as how to publish/subscribe to connect, collect data, monitor and manage assets
  • Learn how to write device, gateway and server-side scripts and apps, enabling them to aggregate and analyze sensor data
  • Learn how to select application-layer protocols and web services architectures for a seamless integration of various components within an IoT ecosystem
  • Review standard development initiatives and reference architectures
  • Explore how to deploy various types of analytics on machine data to define context, find faults, ensure quality, and extract valuable actionable insights
  • Understand cloud infrastructure, services, APIs and architectures of commercial and industrial cloud platforms
  • Build an understanding of prevalent computing architectures, including distributed, centralized, and edge/fog computing

Introduction to Internet of Things
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 & Industry 4.0
IoT Adoption
Market statistics, Early adopters, Roadmap
Business opportunities: Product + Service model
Development, deployment and monetization of applications as service
Use cases
Concept of Data, Information, Knowledge and Wisdom
Sensor Data Mining and Analytics
Wireless Sensor Area Networks (WSAN): Evolution of M2M and IoT Networks and Technologies
Design and Development of IoT Systems
Cloud Computing and Platforms
IoT Security
Analytics
 

Introduction to Internet of Things
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 & Industry 4.0
IoT Adoption
Market statistics, Early adopters, Roadmap
Business opportunities: Product + Service model
Development, deployment and monetization of applications as service
Use cases
Concept of Data, Information, Knowledge and Wisdom
Sensor Data Mining and Analytics
Wireless Sensor Area Networks (WSAN): Evolution of M2M and IoT Networks and Technologies
Design and Development of IoT Systems
Cloud Computing and Platforms
IoT Security
Analytics