Internet of Things | short course | 20 CCD CIDB points



Internet of Things (IoT) is a new revolution of the Internet to enable things to be connected anytime, anyplace, with anything and anyone ideally using any path/network and any service. This 2-day course introduces IoT from an all rounded perspective including what technologies are available and used, the application areas and solutions, business benefits, challenges in deploying IoT solutions (such as business integration, security and privacy issues, data management and analysis issues, governance issues) and choosing right technologies for a project.

  • Hands-on practice
  • Customized on-site delivery
  • Online instructor-led and self-paced

Course Length // 2 Days

  • Comprehensive student materials  
  • Focus on job-specific skills

Audience // 
This course is designed for all levels of IT managers/consultants/administrators, software developers and project managers who want to learn latest technologies about Internet of Things.

Prerequisites // 
Participants shall have basic information technology knowledge.

Course Objective // After completion of the course, participants will be able to understand:         

  • What is Internet of Things (IoT) and why IoT is needed.
  • The elements in IoT. RFID as the core technologies enabling IoT.
  • Sensor and sensor network as the core technologies enabling IoT.
  • Localization as the core technologies enabling IoT.
  • The business ecosystem, scenarios and business models.        

The key areas that can apply IoT

  • The different application solutions that area available in the market.
  • The different practical considerations in evolving an IoT project.
  • From case studies the way to adopt IoT and to deploy an IoT project.
  • The future and open directions of IoT.

Detailed course outline           

Introduction to IoT        

  • What is IoT?
  • Why IoT?
  • Elements in IoT
  • RFID
  • Wireless Sensor Networks (WSN) o Addressing schemes o Data storage and analytics 
  • Visualization

Core Technology – RFID

  • Overview of RFID
  • RFID technology internals o RF communications
  • Protocol
  • Middleware architecture
  • RFID business aspects
  • Security and Privacy

Core Technology – Sensor and sensor network

  • Sensing and Sensors
  • Motivation for a Network of Wireless Sensors Networks
  • Applications of Structural Health Monitoring
  • Traffic Control of Health Care
  • Pipeline Monitoring of Precision Agriculture
  • Underground Mining Coverage and Connectivity issues

Core Technology – Localization

  • Defining location
  • Methods for determining location
  • Location Systems (e.g. GPS, RSS-based indoor localization)

Business Ecosystem, Scenarios and Model  

  • Business drivers
  • Business ecosystems and scenarios
  • Business model
  • Framework/Architecture for IoT business models

IoT Application Areas  

  • Market segments, their size and growth
  • Key Area #1: Transportation
  • Key Area #2: Healthcare
  • Key Area #3: Connected Home

IoT Application Solutions         

  • Smart Cities
  • Smart Environment
  • Smart Water
  • Smart Metering
  • Security & Emergencies
  • Retail
  • Logistics
  • Industrial Control
  • Smart Agriculture
  • Smart Animal Farming
  • Home Automation
  • e-Health

Evolving the IoT      

  • Business challenges in implementing IoT
  • Strategic approach for adopting IoT
  • Integrating IoT into business process
  • Adaptive and event-driven processes
  • Processes dealing with unreliable data
  • Processes dealing with unreliable resources
  • Highly distributed processes  
  • Data management and analysis considerations
  • Security and Privacy considerations
  • Governance considerations
  • Standardization Adoption – Case study  

Evolving the IoT

  • Strategic approach for adoption
  • Choosing the right technology
  • Critical success factors

Future of IoT    

  • Architecture evolution
  • Energy efficient sensing
  • Secure reprogrammable networks and privacy
  • Quality of Service
  • New protocols
  • Participatory sensing
  • Data mining
  • Cloud computing
  • GIS-based visualization
  • International activities

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