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IoT

This web-based training course on IoT functionality, administration and development, is available online to all individuals, institutions, corporates and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkatta), US, UK, Canada, Australia, Singapore, United Arab Emirates (UAE), China and South Africa. No matter where you are located, you can enroll for any training with us - because all our training sessions are delivered online by live instructors using interactive, intensive learning methods.


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Course Details

This course helps trainees to develop skills and experiences that can be employed in designing novel system. With this training program trainees will learn smart house and smart city, layered architecture of big data, function and architecture of sensor, different types of calibration techniques, various wireless protocols, multi layer PCB designing, technologies based on market analysis, packaging and documentation requirements, phase wise introduction of the new features, protocol stack of Mobile app for IoT and iBeacon in IoS. Furthermore, trainees will learn machine learning, various issues of IoT and machine learning, structured predictive analytic, Iaas business implementation in healthcare, database and platform implementation for IoT, few common IoT systems and the need of big data for IoT. There are no prerequisites for this course. This course is beneficial for both fresher and professionals to enhance knowledge and skills.


Business Overview of Why IoT is so important

  • Understanding Broad Scale Application Area
  • Explaining Smart house and smart city
  • Industrial Internet
  • Describing Smart Cars
  • Wearable
  • Understanding Home healthcare
  • Business Rule generation for IoT
  • 3 layered architecture of Big Data such as 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
  • Describing legacy and modern sensor network
  • Explaining Development of sensor electronics- IoT vs. legacy and open source vs. traditional PCB design style
  • Development of Sensor communication protocols
  • Describing Business driver for sensor deployment- FDA/EPA regulation, Fraud/tempering detection, supervision, Quality control and process management
  • Describing Different Kind of Calibration Techniques-manual, automation, infield, primary and secondary calibration
  • Understanding Powering options for sensors-Battery, solar, Mobile and PoE

Introduction to Sensor Network and Wireless protocol

  • What is a sensor network?
  • What is Ad-hoc network?
  • Describing Wireless vs. Wire line network
  • Explaining WiFi 802.11 families
  • Describing Zigbee and Zwave-advantage of low power mesh networking
  • Understanding Long distance Zigbee
  • Introduction to different Zigbee chips
  • Describing Bluetooth/BLE: Low power vs. high power and speed of detection
  • Introduction of Bluetooth vendors
  • Creating network with Wireless protocols such as Piconet by BLE
  • Explaining Protocol stacks and packet structure for BLE and Zigbee
  • Describing LOS vs. NLOS links
  • Sensor network packet architecture
  • Describing Capacity and throughput calculation
  • Various Application issues in wireless protocols- power consumption, reliability, PER and QoS

Review of Electronics Platform, production and cost projection

  • PCB vs. FPGA vs. ASIC design-how to take decision
  • Prototyping electronics vs. Production electronics
  • 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

Conceiving a new IoT product- Product requirement document for IoT

  • New features and technologies based on market analysis
  • Technical specs for new products- System, software, hardware, mechanical, installation etc.
  • Describing Packaging and documentation requirements
  • Servicing and customer support requirements
  • Explain High level design (HLD) for understanding of product concept
  • Phase wise introduction of the new features
  • Skill set for the development team and proposed project plan
  • Understanding Target manufacturing price

Introduction to Mobile app platform & Middleware for IoT

  • Explaining Protocol stack of Mobile app for IoT
  • Describing Fundamentals of WAP ( Wireless application protocols)
  • Mobile to server integration
  • Intelligent layer that can be introduced at Mobile app level
  • Explaining iBeacon in IoS
  • Describing Global vs. Local ID-GUID concept for secured IoT network

Machine learning for intelligent IoT

  • Introduction to Machine learning
  • Describing classification techniques
  • Understanding Image and video analytic for IoT
  • Fraud and alert analytic through IoT
  • Bio –metric ID integration with IoT
  • Explaining Real Time Analytic/Stream Analytic
  • Scalability issues of IoT and machine learning
  • What is the architectural implementation of Machine learning for IoT?

Analytic Engine for IoT

  • Explaining Insight analytic
  • Visualization analytic
  • Describing Structured predictive analytic
  • Unstructured predictive analytic
  • Understanding Recommendation Engine
  • Pattern detection
  • Explaining Rule/Scenario discovery -failure, fraud, optimization

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

  • Explaining Iaas : Information as a service-evolving models
  • Security breach in IOT layer for Iaas
  • Understanding Middleware for Iaas business implementation in healthcare, home automation and farming
  • Iaas case study for vehicular information for Auto-insurance and Agriculture
  • Paas: Platform as a service in IoT
  • Explaining Saas : Software/System as service for IoT business models
  • Understanding Firewalling and IPS
  • Updates and patches

Database & Platform implementation for IoT: Cloud based IoT platforms

  • Understanding SQL vs. NoSQL
  • Which one is good for your IoT application?
  • Explaining Open sourced vs. Licensed Database
  • Available M2M cloud platform
  • Understanding Basic functionality of IoT cloud platform
  • Real Time Analytic
  • Describing Batch Analytic
  • Explaining Data storage
  • Understanding Data filtering
  • Rule engine
  • Explaining Process mapping
  • Data for IoT rule implementation

A few common IoT systems

  • Understanding Home automation
  • Explaining Energy optimization in Home
  • Describing IoT-Lock
  • Explaining Smart Smoke alarm
  • Describing BAC (Blood alcohol monitoring) for drug abusers under probation
  • Pet cam for Pet lovers
  • Understanding Wearable IOT
  • Mobile parking ticketing system
  • Describing Home health care
  • Understanding Smart Sports Watch

Big Data for IoT

  • Understanding 4V- Volume, velocity, variety and veracity of Big Data
  • Why Big Data is important in IoT?
  • Explaining Big Data vs. legacy data in IoT
  • Understanding Fundamental of Map reduced system (MR)
  • Hadoop and HDFS
  • Explaining Storage technique for image, Geospatial and video data
  • Understanding Distributed database like Cassandra and HDFS
  • Understanding Parallel computing basics for IoT

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