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Internet of Things (IoT) Beginners Training Content:

  • COURSE INTRODUCTION: The Internet of Things (IoT) is ushering a new era in science and technology, which will forever change our personal as well as professional lives, our consumer habits and the way we do business. With the fast changing world, these latest inventions and innovations will become the norm by 2020 and we estimate more than 50 billion devices will be connected via the Internet. In order to create early adopters, we have introduced a one of its kind course on ‘Internet of Things’, the next big thing in the IT industry.
  • PRE-REQUISITES: Computer fundamentals and basic programming.
  • DURATION: 6 Days(48 HRS)
  • CERTIFICATON: At the end of the course you will get the certificate for completing the training.

Course Content:
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 IoT & Industries 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

  • Knowledge discovery process
  • DIKW pyramid and relevance with IoT
  • Microcontrollers: cost, performance, and power consumption
    • Commercial microcontroller based development boards
    • Selection criteria and tradeoffs
  • Industrial networks, M2M networks

SENSOR DATA MINING AND ANALYTICS

  • Transducer: Sensor and Actuator
    • Sensors – Types of sensors, sampling, analog to digital conversion, selection criteria of sensor and ADC
  • Data acquisition, storage and analytics
  • Signals and systems
    • Signal processing, systems classification, sampling theorem, ensuring quality and consistency of data
  • 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

WIRELESS SENSOR AREA NETWORKS (WSAN): EVOLUTION OF M2M AND IOT NETWORKS AND TECHNOLOGIES

  • Sensor nodes
    • Sensor node architecture
  • WSN/M2M communication technologies
    • Bluetooth, Zigbee and WiFi communication technologies
    • Cellular communication and LPWAN (LoRa and LoRaWAN) technologies
  • Topologies
  • Applications

DESIGN AND DEVELOPMENT OF IOT SYSTEMS

  • IoT reference architectures
    • Standardization initiatives
    • Interoperability issues
  • IoT design considerations
    • Architectures Device, Network and Cloud
    • Centralized vs distributed architectures
  • Networks, communication technologies and protocols
  • Smart asset management: Connectivity, Visibility, Analytics, Alerts

CLOUD COMPUTING AND PLATFORMS

  • Public, Private and Hybrid cloud platforms and deployment strategy
  • Industrial Gateways
    • Commercial Gateways solutions from various vendors
    • Cloud based Gateway solutions
  • IaaS, SaaS, PaaS models
  • Cloud components and services
    • Device Management, Databases, Visualization, Reporting, Notification/Alarm management, Security management, Cloud resource monitoring and management
  • Example platforms: ThingSpeak, Pubnub, AWS IoT
    • AWS IoT Services
      • Device Registry
      • Authentication And Authorization
      • Device Gateway
      • Rules Engine
      • Device Shadow

IOT SECURITY

  • Standards and Best practices
    • Common vulnerabilities
    • Attack surfaces
    • Hardware and Software solutions
    • Open source initiatives

ANALYTICS

  • Descriptive, Diagnostic, Predictive and Prescriptive
  • Analytics using Python advance packages: Numpy, Scipy, Matplotlib, Pandas and Sci-kit learn

CASE STUDIES AND ROADMAP

  • Cold chain monitoring
  • Asset tracking using RFID and GPRS/GPS