IOT

Course Content and Syllabus for IoT Training

Business Overview of Why IoT is so important

  • Case Studies from Nest, CISCO and top industries
  • IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT
  • Broad Scale Application Area
  • Smart house and smart city
  • Industrial Internet
  • Smart Cars
  • Wearables
  • Home healthcare
  • Business Rule generation for IoT
  • 3 layered architecture of Big Data –Physical (Sensors), Communication and Data Intelligence

Introduction of IoT: All about Sensors

  • Basic function and architecture of a sensor –Sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network- All basics about the sensors
  • Development of sensor electronics- IoT vs legacy and open source vs traditional PCB design style
  • Development of Sensor communication protocols –history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT etc..
  • Business driver for sensor deployment- FDA/EPA regulation, Fraud/tempering detection, supervision, Quality control and process management
  • Different Kind of Calibration Techniques-manual, automation, infield, primary and secondary calibration –their implication in IoT
  • Powering options for sensors-Battery, solar, Witricity. Mobile and PoE

Introduction to Sensor Network and Wireless protocol

  • What is a sensor network? What is Ad-hoc network ?
  • Wireless vs. Wireline network
  • WiFi- 802.11 families: N to S- application of each standards and common vendors.
  • Zigbee and Zwave-advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips:
  • Bluetooth/BLE: Low power vs high power, speed of detection, class ofBLE. Introduction of Bluetooth vendors & their review :
  • Creating network with Wireless protocols such as Piconet by BLE
  • Protocol stacks and packet structure for BLE and Zigbee
  • Other long distance RF communication link
  • LOS vs NLOS links
  • Sensor network packet architecture
  • Capacity and throughput calculation
  • Application issues in wireless protocols- power consumption, reliability, PER, QoS, LOS

Review of Electronics Platform, production and cost projection

  • PCB vs FPGA vs ASIC design-how to take decision
  • Prototyping electronics vs Production electronics
  • QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those and
  • Basic introduction of multi-layer PCB design and its workflow when needed?
  • Electronics reliability-basic concept of FIT and early mortality rate
  • Environmental and reliability testing-basic concepts
  • Basic Open source platforms: Adruino, Rasberry Pi, Beaglebone, RedBack, Diamond Back

Conceiving a new IoT product- Product requirement document for IoT

  • State of the present art and review of existing technology in the marketplace
  • Suggestion for new features and technologies based on market analysis and patent issues
  • Detailed technical specs for new products- System, software, hardware, mechanical, installation etc.
  • Packaging and documentation requirements
  • Servicing and customer support requirements
  • High level design (HLD) for understanding of product concept
  • Release plan for phase wise introduction of the new features
  • Skill set for the development team and proposed project plan -cost & duration
  • Target manufacturing price

Introduction to Mobile app platform & Middleware for IoT

  • Protocol stack of Mobile app for IoT
  • Fundamentals of WAP ( Wireless application protocols)
  • Mobile to server integration –what are the factors to look out
  • What are the intelligent layer that can be introduced at Mobile app level ?
  • iBeacon in IoS
  • Global vs Local ID-GUID concept for secured IoT network
  • IoT-Middleware case study-1 Axeda
  • IoT Middleware case study-2 Xively

Machine learning for intelligent IoT

  • Introduction to Machine learning
  • Learning classification techniques
  • Bayesian Prediction-preparing training file
  • Support Vector Machine
  • Image and video analytic for IoT
  • Fraud and alert analytic through IoT
  • Bio –metric ID integration with IoT
  • Real Time Analytic/Stream Analytic
  • Scalability issues of IoT and machine learning
  • What are the architectural implementation of Machine learning for IoT

Analytic Engine for IoT

  • Insight analytic
  • Visualization analytic
  • Structured predictive analytic
  • Unstructured predictive analytic
  • Recommendation Engine
  • Pattern detection
  • Rule/Scenario discovery –failure, fraud, optimization
  • Root cause discovery

Iaas/Paas/Saas-IoT data, platform and software as a service revenue model

  • Iaas : Information as a service-evolving models
  • Mechanism of security breach in IOT layer for Iaas
  • Middleware for Iaas business implementation in healthcare, homeautomation and farming
  • Iaas case study for vehicular information for Auto-insurance and Agriculture
  • Paas: Platform as a service in IoT. Case studies of some of the IoT middleware
  • Saas : Software/System as service for IoT business models
  • European legislation for security in IoT platform
  • Firewalling and IPS
  • Updates and patches

Database & Platform implementation for IoT : Cloud based IoT platforms

  • SQL vs NoSQL-Which one is good for your IoT application
  • Open sourced vs. Licensed Database
  • Available M2M cloud platform
  • Basic functionality of IoT cloud platform
  • Real Time Analytic
  • Batch Analytic
  • Data storage
  • Data filtering
  • Rule engine
  • Process mapping
  • Caching of Data for IoT rule implementation
  • Lossless data compression /Data encoding : Huffman and Progressive filtering
  • Xively/ Omeg/Ayla/Libellium/CISCO M2M platform /AT &T M2M platform/ Google M2M platform

A few common IoT systems

  • Home automation
  • Energy optimization in Home
  • Automotive-OBD /Iaas/Paas for Insurance and Car parking
  • IoT-Lock
  • Smart Smoke alarm
  • BAC ( Blood alcohol monitoring ) for drug abusers under probation
  • Pet cam for Pet lovers
  • Wearable IOT
  • Mobile parking ticketing system
  • Indoor location tracking in Retail store
  • Home health care
  • Smart Sports Watch

Big Data for IoT

  • 4V- Volume, velocity, variety and veracity of Big Data
  • Why Big Data is important in IoT
  • Big Data vs legacy data in IoT
  • Fundamental of Map reduced system (MR)
  • Hadoop and HDFS
  • Kafka for data messaging and brokerage
  • Storm/Bolt/Spout-fundamentals of real time analytic system
  • Storage technique for image, Geospatial and video data
  • Distributed database like Cassandra and HDFS
  • Parallel computing basics for IoT

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