IoT Certification: 5 Days from Beginner to Advanced
10010153
香港九龍達之路78號
2020-09-15
林小姐,電話:2788 5800
ecinfo@hkpc.org
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Course Detail

This program walkthroughs basics, concepts and applications of IoT from ground up. It covers its core technologies,  IoT  infrastructure,  platform  design  and building,  basic  programming,  data  analysis  and machine learning in a progressive pace.

It  focuses  on  many  hands-on  practical  exercises,  including  DIY  sensor  project,  programming  the weather  station,  and  machine  learning  programs  for  IoT  data.  You  will  understand  why  we  need  a proper  IoT  platform  and  leverage  it  to  manage  multitude  of  devices,  protocols  and  applications. Common IoT protocols such as HTTP, MQTT will be reviewed and compared.

We  will  take  a  close  look  of  how  IoT  empowers  many  industry  applications  through  case  studies  in smart  home,  smart  society,  healthcare and telecommunications fields. Last  but not  least, the  course discusses the controversial topic of Internet security and how to safeguard your IoT platform against cyber-attacks and abuse.

Course Structure

Introduction to IoT(0.5 day)

To elaborate the core technologies, including NFC, ZigBee, Bluetooth, behind IoT and the applications in different scenarios derived from these technologies

    • What is IoT?
    • Why IoT?
    • Solution architecture
    • Understanding device
    • lifecycle
    • IoT technology overview
    • Common IoT use cases

Sensor DIY workshop (1.5 day)
To build a IoT sensor using the popular ESP8266 component – through controlling input and output and connect to the Internet to submit sensed data

    • What is ESP8266?
    • Introduction to Arduino IDE
    • Working with Arduino
    • libraries
    • Electronic basics for circuit design
    • Building prototypes on breadboard
    • What is IoT?
    • Why IoT?
    • Solution architecture
    • Understanding device
    • lifecycle
    • IoT technology overview
    • Common IoT use cases

Sensor DIY workshop (1.5 day)
To build a IoT sensor using the popular ESP8266 component – through controlling input and output and connect to the Internet to submit sensed data

    • Connecting to Internet
    • Input and output with serial monitor
    • Hand on exercise:
      • Controlling LED lights with GPIO
      • Building web interfaces to control lights
    • Collecting temperature and humidity
    • Data visualization on Blynk apps
    • Hand on exercise:
      • Building a weather station

IoT Platforms (1.5 day)
To elaborate the details of IoT platform, its emergence, components, key function of device management and two common protocols, HTTP and MQTT that work between IoT sensors and platforms.

    • What is IoT Platform?
    • Cloud IoT platforms
    • IoT Communication Protocols
    • Building pub/sub services on Eclipse Mosquitto
    • IoT Security
    • Authorization and Access Control List (ACL) on Mosquitto

Machine learning on IoT data (1.5day)

To elaborate the intelligence that can be gathered by the sensing data collected through IoT sensors and platforms – with a focus on different applicable and useful machine learning models – to build smarter applications.

    • Understanding data analysis workflow
    • Introduction to CRISP- DM
    • Machine learning problem types
    • Supervised and unsupervised learning algorithms
    • Introduction to Python programming language
    • Scikit-learn machine learning examples
    • Computer vision and image processing techniques
    • Healthcare case study : Abnormality detection on patient data
    • Smart building case study: Predictive analytics on energy usage

Duration

Date : 15,22,29 Sep & 6,20 Oct 2020
Time: 09:30 – 17:30 (TUE, 30 hours)

Who Should Attend ?

♦IT manager                            ♦IoT hardware developers
♦System analysts                 ♦Business analysts
♦Software architects          ♦Data analysts
♦Software developers       ♦Data scientists

Prerequisites   It is highly recommended that participants possess basic programming knowledge (Python).

Bring Your Own Device (BYOD):  Windows 7/10 / Mac OS 10.x or above with minimum 2 GB RAM and 20 GB hard disk

Course Fee

HK$12,000 per head ** (May up to $8,000* subsidy)
**This course is subject to approval under the Reindustrialisation and Technology Training Programme(RTTP) with up to 2/3 course fee reimbursement upon successful applications. For details: https://rttp.vtc.edu.hk.

Language

Cantonese, supplemented with English technical terms

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