Course Outline

Session 1: Business Overview of Why IoT is So Important

  • Case Studies from Nest, CISCO and top industries
  • IoT rate in North American & how they are aligning their future business model and operation around IoT
  • Broad Scale Application Area
  • Smart Factory of 2020
  • Industrial Internet
  • Predictive and Preventative Maintenance of a Machine
  • Tracking the utilization and productivity of the machine
  • Energy and cost optimization of manufacturing plants
  • Business Rule Generation for IoT
  • 3 layered architecture of Big Data - Physical (Sensors), Communication, and Data Intelligence

Session 2: Introduction to 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 the 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 — and their implication in IoT
  • Powering options for sensors — battery, solar, Witricity, Mobile and PoE
  • Hands on training with single silicon and other sensors like temperature, pressure, vibration, magnetic field, power factor etc.

Demo : Logging data from a temperature sensor

Session 3: Fundamentals of M2M Communication : Sensor Network and Wireless Protocols

  • What is a sensor network? What is ad-hoc network?
  • Wireless vs. Wireline network
  • WiFi- 802.11 families: N to S — application of 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 of BLE. 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
  • Capacity and throughput calculation
  • Application issues in wireless protocols — power consumption, reliability, PER, QoS, LOS
  • Sensor networks for WAN deployment using LPWAN. Comparison of various emerging protocols such as LoRaWAN, NB-IoT etc.
  • Hands on training with sensor network

Demo  : Device control using BLE

Session 4: Review of Electronics Platform, Production and Cost Projections

  • 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 when needed?
  • Basic introduction of multi-layer PCB design and its workflow
  • Electronics reliability-basic concept of FIT and early mortality rate
  • Environmental and reliability testing-basic concepts
  • Basic Open source platforms: Arduino, Raspberry Pi, Beaglebone, when needed?

Session 5: Hardware/Protocol Elements of IIOT for manufacturing 

  • State of the present art and review of existing technology in the market place
  • PLC – architecture
  •  Cloud integration of PLC data 
  •  Visualization of PLC data
  •  Digital Twin 
  •  PLC protocols  ( Modbus, Field bus, Profibus) and its integration with Cloud 
  •  Concept of Industrial Gatway

Session 6: Introduction to Mobile App Platform for IoT

  • Protocol stack of Mobile app for IoT
  • 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
  • Window Azure
  •  Amazon AWS-IoT
  • Web Interfaces for Mobile Apps ( REST/WebSockets)
  • IoT Application layer protocols (MQTT/CoAP)
  • Security for IoT middleware- Keys, Token and random password generation for authentication of the gateway devices.

Demo : Mobile app for tracking IoT enabled trash cans

Session 7: Machine Learning for Intelligent IIoT

  • Introduction to Machine learning
  • Learning classification techniques
  • Bayesian Prediction-preparing training file
  • Support Vector Machine
  • Predicting failure of the machines -vibrational analysis 
  • Current signature analysis 
  • Time series data and prediction  

Demo : Using KNN Algorithm for regression analysis

Demo : SVM based classification for image and video analysis

Session 8: Analytic Engine for IIoT

  • Insight analytic
  • Visualization analytic
  • Structured predictive analytic
  • Unstructured predictive analytic
  • Recommendation Engine
  • Pattern detection
  • Root cause discovery for electrical failures in factory 
  •  Root cause of machine failure
  •  Logistic supply chain analysis for manufacturing 

Session 9: Security in IoT Implementation

  • Why security is absolutely essential for IoT
  • Mechanism of security breach in IOT layer
  • Privacy enhancing technologies
  • Fundamental of network security
  • Encryption and cryptography implementation for IoT data
  • Security standard for available platform
  • European legislation for security in IoT platform
  • Secure booting
  • Device authentication
  • Firewalling and IPS
  • Updates and patches


Session 10: Database Implementation for IoT Cloud

  • SQL vs NoSQL-Which one is good for your IoT application
  • Open sourced vs. Licensed Database
  • Available M2M cloud platform
  •  Cassandra -Time Series Data
  •  Mongo-DB 
  •  Siemens MindSphere 
  • GE Predix 
  •  IBM BlueMix
  •  AWS IoT 

Session 11: A few Common IIoT Systems for manufacturing

  •  Energy Optimization in Manufacturing
  •  Vibration analysis to build predictive maintenance
  •  Power Quality analysis to build Preventative maintenance
  •  Recommendation system for logistic supply chain
  •  IIoT system for Industrial Safety 
  •  IIoT system asset identification 
  •  IIoT system for Utilities in Manufacturing plants ( Chiller, Aircompressor, HVAC)

Demo : Retail, Transportation & Logistics Use case for IoT

Session 12: 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
  • Hadoop for IoT-when and why?
  • Storage technique for image, Geospatial and video data
  • Distributed database- Cassandra as example
  • Parallel computing basics for IoT
  • Micro services Architecture

Demo : Apache Spark


  • Basic knowledge of business operation, devices, electronics systems and data systems

  • Basic understanding of software and systems

  • Basic understanding of Statistics (in Excel levels)

  21 Hours


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