Time:  40 Hours

 

Prerequisite:  

 

Basic Linux OS, understanding of Statistics (in Excel levels) and Java programming knowledge is preferred

 

Course overview:

 

Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped into bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizeable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app. This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.

 

Course Content

• Introduction to IoT

• What is IoT?

• Effects of IoT

• Skill set for IoT

• Challenges and barriers to IoT

• Functional Requirements of IoT 

 

BUSINESS  OVERVIEW OF WHY IOT IS SO IMPORTANT

• 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

 

 

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

 

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

 

Components & Elements of IoT

• Components of IoT

• Security

• Elements of IoT

• Radio Frequency Identification (RFID)

• ​Wireless Sensor Networks (WSN)

• ​Addressing schemes

• Data, storage and analytics

• Visualization

 

BIG DATA ARCHITECTURE 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

 

• Security Aspects of IoT

• IoT Security Aspects

• IoT features leading to security issues

• Security Issues in IoT based on RFID

• Design Considerations for IoT Technologies

 

 

Who should go for this course?

 

This  course  is  for  investors  and  IoT  entrepreneurs,  as  well  as  managers  and  engineers  from  companies  venturing  into  IoT  space.  Business  analysts  and QA will also benefit from this course.

 

Special notes:

 

Project work + hands-on Labs

 

 

For more info contact ITEXPS