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IOT

IOT Training in Dehradun & Best IOT Training Institute in Dehradun

Insergo tecnologies Dehradun offers an inclusive IOT training in Dehradun. The extensive practical training provided by IOT institute in Dehradun equips live projects and simulations. Such detailed Big Data course has helped our students secure job in various MNCs. The trainers at Insergo tecnologies Dehradun are subject specialist corporate professionals providing in-depth study in IOT course in Dehradun. Participants completing the Big Data certification have plethora of job opportunities in the industry.

Insergo Project based 6 Months Industrial Training in IOT Covers the Following Modules

Industrial Training in IOT is a modular 6 months course, regularized over 5 days a week, 2 hrs a day, and exclusively includes practical sessions. The course curriculum of Industrial Training in Java comprises:

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

6 Months Based Projects List in IoT (Internet of Things) Technologies

  • Internet of Things with Android and Arduino
  • Automatic Street Lighting system using IoT
  • Smart Building Project using PIR
  • Smart Water Monitoring System using IoT
  • Cloud-ready temperature sensor with the Arduino Uno
  • An IoT Temperature Monitor for Balcony Garden
  • Smart Irrigation System using IoT
  • IoT Application Using Raspberry Pi
  • Temperature & Humidity Sensing using IoT
  • IoT Remote Soil Moisture Monitor
  • Intelligent Traffic Information System Based on Internet of Things
  • Wireless Sensor System using IoT -Internet of Things
  • IoT Based Biometrics Implementation on Raspberry Pi
  • Raspberry pi Based Smart Supervisor using Internet of Things (IoT)
  • Motion Controlled Servos using IoT
  • Multi Room Music Player using IoT
  • Automatic Smart Parking System using Internet of Things (IOT)
  • IoT Based Raspberry Pi Home Automation
  • IoT Home Security Model
  • IoT Vehicle Simulation System
  • Automatic Smart Parking System using IoT
  • Smart e-Health Gateway
  • IoT based Biometrics
  • Internet of Things Based Architecture of Web and Smart Home Interface
  • Smart Security Solutions based on Internet of Things (IoT)
  • IoT Smart Bulb
  • Internet of Things Enabled Wireless Sensor Network
  • Internet of Things based Controlling of Appliances using GSM/GPRS
  • Secured Smart Healthcare Monitoring System Based on IOT

 

Insergo Project based 6 Months Industrial Training Covers the Following Modules

4/6 Weeks and Months Industrial Training is a modular 6 weeks and months course, regularized over 5 days a week, 2 hrs a day, and exclusively includes practical sessions. The course curriculum of Industrial Training in Embedded System comprises:

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