Founder interviews, pre-release product design, hand crafted inventions.
Get the digest of our best ones, straight in your inbox. Every month.
Founder interviews, pre-release product design, hand crafted inventions.
Get the digest of our best ones, straight in your inbox. Every month.

Internet of Things (IoT), M2M, & Big Data Analytics Certification Course

Mon Sep 12th

The emerging paradigm of Internet of Things (IoT) has created both new smart services and economic opportunities for industries, businesses and communities. The IoT technology is revolutionizing the smart healthcare sector, energy sector, smart cities, smart transportation systems, smart security sectors, and e-governance systems by taking connectivity, data mining and communication to the next level. It is predicted that by 2020, about 7.6 billion people will be interconnected via 50 billion devices which is a good indication of worldwide diffusion of things and data connected to the internet via IoT technology. According to business analysts, IoT technology will lead to an economic growth of 4.6 trillion dollars in the Global Public Sector by 2020.

This course covers major aspects of IoT, Machine to Machine (M2M) Communication and Big Data Analytic techniques for IoT. This course will provide a solid base for Information & Communication Technology (ICT) engineers, researchers, marketing managers, IoT software application designers, embedded design engineers, and entrepreneurs to learn about state-of-the-art IoT applications for smart cities, smart healthcare sector, smart grid, smart transportation systems, smart security systems and e-governance.  Moreover, after completing this course, the attendees will not only be able to establish smart Iot based business ventures but will also gain the knowledge to design IoT industrial applications using sophisticated cloud based IoT platforms and data analytics tools.

Key Benefits for Participants

This course will provide the following key benefits to the attendees:

  • Learn about sophisticated software and hardware tools for designing IoT industrial applications using cloud based IoT platforms which can potentially generate massive revenue streams.
  • Enhance their knowledge about big data analytic techniques for smart IoT applications
  • Brainstorm potential valuable business ideas linked with IoT based smart cities, smart homes, smart gird, smart health and smart transportation applications.
  • Extensive understanding of IoT technologies, protocols, standards and cloud based IoT platforms
  • Gain detailed knowledge about state-of-the-art IoT commercial products
  • Gain comprehensive knowledge about marketing terms for Internet of Things based industrial products and applications.
  • Understand key ideas related to e-governance, public safety and disaster management

Course Objectives

This course has the following major objectives:

  • Provide comprehensive knowledge about IoT ecosphere, IoT applications, IoT standards, architecture, protocols and cloud based IoT platforms.
  • Deliver insights about IoT technology market trends, IoT businesses and deployment of IoT applications.
  • Detailed insight to Bluetooth Smart Technology, Sensor networks, ZigBee, Low Power WiFi, RFID, IEEE 802.15.4, IEEE 802.15.4e, 802.11ah and Relay Access Point (AP)
  • Detailed insights to Machine to Machine (M2M) communication
  • Comprehensive knowledge about Big Data analytic tools such as Hadoop.
  • Case studies of cloud based IoT platforms from various leading technology companies for smart healthcare, smart transportation, smart buildings, smart grid and e-governance.

Course Outline

In “Internet of Things (IoT) Application Design, Machine to Machine (M2M) & Big Data Analytics Certification Course (Overview)”, we cover the fundamentals of IoT, M2M and Big Data Analytics, while in “Internet of Things (IoT) Application Design, Machine to Machine (M2M) & Big Data Analytics Certification Course (Comprehensive)”, we cover the following course content:

Introduction of Internet of Things (IoT) and Machine to Machine (M2M) 

  • IoT overview 
  • IoT history and evolution 
  • Standards and requirements 
  • IoT enabling technologies 
  • Market trends
  • Functionalities and structure

IoT Architecture & Technologies 

  • Key components: Hardware and firmware 
  • Device drivers and  application software 
  • Networking protocol structure 
  • Semantic Web 3.0 Standard for M2M and IoT 
  • Cloud connectivity 
  • ZigBee and RFID,Target Wake Time (TWT) 
  • SuperSpeed USB Inter-Chip (SSIC) 
  • Bluetooth Smart Technology 
  • UniPro, SPMI, BIF 
  • Bluetooth Smart Technology 
  • Relay Access Point (AP) 
  • Sensor networks

IoT Communication and Networking 

  • Serial communication 
  • Power consumption and optimization 
  • Wired connectivity, Ethernet/GigE 
  • Grouping of stations and Augmented Reality 

IoT Deployment and management 

  • Mobile integration&Convergence  
  • Value chain and Business models 
  • Lifecycle solution management 
  • Real-time response and delay

New IoT products- Product requirement document  for IoT 

  • State of the present art IoT technology review 
  • Detailed technical specs for new products 
  • High level design (HLD)  
  • Skill set for the development team
  • Target manufacturing price

Machine learning for intelligent IoT 

  • Learning classification techniques 
  • Bayesian Prediction-preparing training file 
  • Image and video analytic for IoT 
  • Bio –metric ID integration with IoT 
  • Real Time Analytic/Stream Analytic
  • Parallel computing basics for IoT

Security in IoT implementation 

  • Mechanism of security breach in IOT layer 
  • Privacy enhancing technologies 
  • Security standard for available platform 
  • Secure booting and Device authentication 
  • Firewalling and IPS 

Big Data for IoT 

  • 4Vs of Big Data 
  • Why Big Data is important in IoT 
  • Big Data vs legacy data in IoT 
  • Hadoop for IoT-when and why? 
  • Storage techniques and Distributed database

Big Data Analytics Techniques 

  • Introduction to R (statistical tool) 
  • Data explorationand visualization 
  • Cluster analysis and Decision Trees 
  • End to End Analytics

Hadoop Data Management

  • Hadoop Installation 
  • Introduction to HDFS and HBASE 
  • Hive Data Management

Cloud based IoT platforms 

  • Case studies of available M2M cloud platform 
  • Libellium, Ayla, Axeda 
  • CISCO M2M platform 
  • AT &T M2M platform

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

Case studies of IoT systems 

  • Home automation 
  • Wearable IOTs, smart smoke alarm
  • Indoor location tracking in Retail store

Delivery Options

  • Online
  • Onsite

Who Should Attend

  • Technical managers and engineers who are specifically interested planning, designing, building, managing or  operating IoT technology and applications
  • Engineers who require in depth knowledge about cloud based IoT platforms and big data analysis.
Posted 14th Jun 2016
Share on Google+
Post to Reddit
Share on Linkedin