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IOT TRAINING IN BANGALORE

Accelerate your career prospects with iteanz IOT Training

About Program

Highest Quality and the Most Productive, High Energy Learning Experience.

Curriculum

Comprehensive Course Curriculum. Customizable to full-fill your trainer needs.

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About Program

Learn IoT from iteanz the market leader!

Enhance your skill set and boost your hirability through innovative and hands-on Internet of Things (IoT)  with iteanz.

Iteanz provides the most comprehensive and extraordinary technical training with our wealth of experience in IoT.

Come 2020 and millions or even billions of smart electronic devices, linked by the Internet, would interact with each other independent of human intervention. This network of interacting electronic devices is named the Internet of Things (IoT). Looking at it from our times (2013), one could expect the IoT to consist of PCs, tablet computers, digital cameras, e-Book readers, mobile phones, robots, private and public computer networks, and whatever new smart electronic devices that would be developed between now and 2020.

Ultimately, the “Internet of Things” represents only the latest in the ongoing evolution of the Internet. It will almost certainly be a different landscape six months from now. Choose IoT training with iteanz and accelerate your IT career.

Success Factors:

  • High-Quality Training
  • Top Technical Trainers
  • Comprehensive Course Curriculum
  • 100% Placement Assistance
  • Superb Satisfaction Score
  • Internship on Real-Time Project 
  • 3I- Individual Focus, Innovative & Interactive

Curriculum

CHAPTER 1:INTRODUCTION

  • Case Studies from Nest, CISCO, and top industries
  • IoT adaptation rate in North America & 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

CHAPTER 2: ALL ABOUT SENSORS – ELECTRONICS

  • 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.
  • The business driver for sensor deployment — FDA/EPA regulation, fraud/tempering detection, supervision, quality control, and process management
  • Different Kinds of Calibration Techniques — manual, automation, infield,
  • secondary primary and 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.

CHAPTER 3: FUNDAMENTALS OF M2M COMMUNICATION — SENSOR NETWORK AND WIRELESS PROTOCOL

  • What is a sensor network? What is an 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 a 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
  • Hands-on training with sensor network
    1. PICO NET- BLE Base network
    2. Zigbee network-master/slave communication
    3. Data Hubs: MC and single computer ( like Beaglebone ) based datahub

CHAPTER 4:REVIEW OF ELECTRONICS PLATFORM, PRODUCTION, AND COST PROJECTION

  • PCB vs FPGA vs ASIC design-how to take the 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.
  • RedBack, Diamond Back

CHAPTER 5:CONCEIVING A NEW IOT PRODUCT- PRODUCT REQUIREMENT DOCUMENT FOR IOT

  • State of the present art and review of existing technology in the marketplace
  • Suggestions 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 the 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

CHAPTER 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 is the intelligent layer that can be introduced at the Mobile app level?
  • iBeacon in IoS
  • Window Azure
  • Linkafy Mobile platform for IoT
  • Axeda
  • Xively

CHAPTER 7:MACHINE LEARNING FOR INTELLIGENT IOT

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

CHAPTER 8: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

CHAPTER 9:SECURITY IN IOT IMPLEMENTATION

  • Why security is absolutely essential for IoT
  • Mechanism of a 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

CHAPTER 10:DATABASE 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
  • Axeda
  • Xively
  • Omega
  • NovoTech
  • Ayla
  • Libellium
  • CISCO M2M platform
  • AT &T M2M platform
  • Google M2M platform

CHAPTER 11:A FEW COMMON IOT SYSTEMS

  • Home automation
  • Energy optimization in Home
  • Automotive-OBD
  • 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

CHAPTER 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
  • Parallel computing basics for IoT

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