Pre-requisites
Participants are preferred to have min. 2 years of experience in software development, business domain or data/business analysis.
Program Structure
This is a 5-day intensive training program with the following assessment components.
Component 1. Written Examination
Component 2. Project Work Component (PWC)
Course Outline :: Certified Internet of Things Specialist::
These components are individual based. Participants will need to obtain 70% in both the components in order to qualify for this certification. If the participant fails one of the components, they will not pass the course and have to re-take that particular failed component. If they fail both components, they will have to re-take the assessment.
Course Session Schedule
Session 1
(9:00 – 10:45)
Session 2
(11:00 – 12:30)
Session 3
(13:45 – 15:15)
Session 4
(15:30 – 17:00)
Introduction
Overview of IoT Overview of IoT
(cont.)
Components &
Elements of IoT
Day 2 Architecture of IoT
system
Cloud Computing in
IoT Architecture
Hands-on 2
Day 3 Business Analytics
and IoT Architecture
Data Mining Tool &
Techniques
Hands-on 1
Day 4 Big Data
Technologies and
IoT Architecture
Hadoop HDFS &
MapReduce
Databases for IoT Mobile integration to enable IoT
Day 5 Security aspects of
IoT
Privacy aspects of
IoT
IoT Applications Review, Discussion
& Assessment
Course Topics
What is IoT?
Effects of IoT
Skill set for IoT
Challenges and barriers to IoT
Functional Requirements of IoT
Communication aspects involved in IoT system o Wired connectivity and technologies o Wireless connectivity and technologies
Power and Energy Management & Optimization
Network Topologies for IoT
Course Outline :: Certified Internet of Things Specialist::
IoT Protocols
IoT – Technologies & Software
Components of IoT
Elements of IoT o Radio Frequency Identification (RFID) o Wireless Sensor Networks (WSN) o Addressing schemes o Data, storage and analytics o Visualization o Security
Internet of Things—Architecture – IoT-A
The IoT-A Reference Model
Cloud Computing o Cloud Computing in Internet of Things o Internet of Things with Cloud Architecture o IoT-related Cloud Security Issues o IoT-related Cloud Computing Privacy Issues o Building a Private Cloud to enable IoT
Business Analytics o Business Analytics in IoT Architecture o IoT and Data Mining o Data Warehouse in IoT o Data Visualization and Tools in IoT o Data Mining Tool o BA Techniques to empower IoT’s Analytical & Decision Making Capability
Big Data Technologies o Internet of Things and Big Data o The IoT Process and its challenges o Understanding Big Data o Hadoop HDFS and MapReduce
Course Outline :: Certified Internet of Things Specialist::
Big Data turning into “HUGE DATA”
SQL Databases
NoSQL Databases
Cloud Databases
Mobile Middleware
Omni-Channel Retailing
Mobile Loyalty
Mobile Point of Sale
Mobile Inventory
Real World Mobile Integration Examples
IoT Security Aspects
IoT features leading to security issues
Security Issues in IoT based on RFID
Design Considerations for IoT Technologies
Privacy Analysis
Data Loss – RFID, Bluetooth, Big Data
Mechanisms to Prevent Privacy Hack
Popular Privacy Legislations
Case Study
Privacy Enhancing Technologies (PET)
Few Approaches to IoT Privacy
Practical tips to Handle IoT Privacy
Smart Cities
Smart Environment
Smart Water
Course Outline :: Certified Internet of Things Specialist::
Smart Metering
Security & Emergencies
Retail
Smart Logistics
Industrial Control
Smart Agriculture
Smart Animal Farming
Home Automation eHealth
Hands-on
Participants will have guided hands-on sessions on IoT to get firsthand knowledge about IoT and backbone technologies (cloud computing, business analytics, etc.) needed to build IoT applications. During this session they will gain understanding of several factors in building a successful IoT system.
The program consists of two hands-on sessions, three hours duration each.
Hands-on 1: Implementing the Internet of Things (IoT) using Nabto infrastructure through a live cloud service. In this session, participants will learn FreeRTOS+Nabto based Internet-of-Things that is live and available to connect any time.
The demo provides access to live data and the FreeRTOS command console. Participants will also learn about implementing the Internet of Things (IoT) using Nabduino. Nabduino is a prototype board, providing you with access to Nabto’s patented technology, which automatically creates a direct encrypted connection to a device behind a firewall. Using this demo participants can perform operations on LED, Buttons, Temperature, PWM (Pulse-width modulation), Analog In and Digital IO.
Hands-on 2: Setup and configure a private cloud for IoT application deployment and infrastructure maintenance using
OpenNebula, an open source private cloud tool. Further, participants will also perform business analytics on an IoT application data (including data loading, data preparation, data cleaning and analysis operations) using an open source
BA tool RapidMiner.
Written Assessment
As part of the written examination, each participant will be assessed individually on the last day of the training for their understanding of the subject matter and ability to evaluate, choose and apply them in specific context and also
Course Outline :: Certified Internet of Things Specialist::
the ability to identify and manage risks. The assessment focuses on higher levels of learning in Bloom’s taxonomy:
Application, Analysis, Synthesis and Evaluation.
This written examination will primarily consist of 40 multiple choice questions spanning various aspects as covered in the program. It is an individual, competency-based assessment.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.