Internet-of-Things (IoT) Training with ESP32

Topic 1 Overview of Internet of Things (IoT)

• What is IoT?
• IoT Components
• Sensor and Actuators for IoT
• Wireless Communication Technologies for IoT
• IoT Applications and Use Cases

Topic 2 Collect and Post Data to Cloud

• What is Cloud Computing
• Setup ThingSpeak Cloud Computing Account
• Create a New Channel on ThingSpeak
• Introduction to ESP32
• Setup ESP32 on Arduino
• Collect Environmental Data
• Post Data to ThingSpeak via REST and MQTT API

Topic 3 Read Data from Cloud

• Create Channel Display Widgets
• Read Data from ThingSpeak using MQTT or REST API
• What is MQTT
• Introduction to Node-Red Visual Programming

Topic 4 IoT Data Analytics and Visualization

• IoT Data Analysis on ThingSpeak
• IoT Data Visualization on ThingSpeak
• Node-Red Dashboard

Topic 5 IoT Data Processing and Actions

• ThingSpeak Actions on Data
• Introduction to IFTTT
• Create Notification Alerts with IFTTT Services

Prerequisite:

This course assumes the following:

• Basic Arduino
• Basic C++

Software Requirement

• Download and install Arduino IDE https://www.arduino.cc/en/Main/Software
• Download and install Node JS https://nodejs.org/en/download/
• Download nad install CH210x USB to UART driver https://www.silabs.com/products/development-tools/software/usb-to-uart-bridge-vcp-drivers

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

10-  Select a Training Provider, then click Next

11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

14-  Please select a Course Title and Type of Training

15-  Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16-  Please key in the Training Location and click Next

17-  Please select the Level of Certification and click Next

18-  Please follow the instructions and key in trainee details

19-  Click Add Batch, then click Save

20-  Click Add Trainee Details

21-  Please key in all the required details, then click Add

22-  Click Add if there are more participants. Once done, click Save

23-  Click Next

24-  Please key in the course fees and allowance details, then click Save

25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

• IoT Product Manager
• Innovation Manager
• IoT Solutions Architect
• Smart City Planner
• R&D Specialist
• Business Strategist
• Digital Transformation Lead
• Manufacturing Process Manager
• IoT Data Analyst
• Connected Devices Engineer
• Operations Manager (IoT-focused)
• Smart Grid Specialist
• Home Automation Developer
• Supply Chain Innovation Manager
• Industrial Automation Strategist

Reza Khosravi: Reza Khosravi is the founder and CEO of Skymics Sdn Bhd a High Tech MSC status company in the field of IT and Internet of Things Technology. He has over 15 years of experience in IT and Telecommunication. He is the inventor of the C65 embedded device. He graduated from Staffordshire University with MBA degree in IT.

• More than 5 years of experience in Smart Cities Solutions
• An expert on Embedded System Design, Raspberry Pi and Arduino
• An expert on IBM Blunix and IBM Watson
• More than 3 years of experience in field of IoT solutions.
• He is the designer of below IoT Projects in last 3 years.

1. Smart Building System
2. Energy Monitoring, Controlling and Saving
3. Environmental Monitoring
4. Flood detection and prediction system based on IoT and big data
5. Online Weather Station Based on IoT
6. Smart Farming System (Long Range Wireless Sensor Networks)
7. Smart Hydroponic System Based on IoT
8. IP TV and Digital Signage System
9. RFID Payment Gateway Solutions
10. GPS Tracking System
11. Remote Sensing

Saeid Alizadeh: Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

1. Smart Building System
2. Energy Monitoring, Controlling and Saving
3. Environmental Monitoring 
4. Flood detection and prediction system based on IoT and big data 
5. Online Weather Station Based on IoT
6. Smart Farming System (Long Range Wireless Sensor Networks)
7. Smart Hydroponic System Based on IoT
8. IP TV and Digital Signage System
9. RFID Solution 
10. GPS Tracking System
11. Remote Sensing

Sam Ng: Sam Ng was the founder of the Penang and PJ Raspberry Pi meetups. He has more than 15 years experience in IT including Linux solutions & experience and is currently a Freelance DevOps/Cloud Engineer. He has a variety of working experience including starting an IT department in a Contract Manufacturing company in Penang. Other work experience including System Engineering in Wireless networking & Cloud networking projects as well as experience with Digital Signage projects. He has also conducted Arduino IOT Training for Adults and Secondary School children as well as Raspberry Pi Training. Areas of interests are Raspberry Pi and IOT security. He is currently working on his AWS certification.

Navid: Navid has 3 years of teaching and 8 years of industry experience in Networking, Internet Of Things and Cyber Security. His research interests include network communication, IoT and Cybersecurity. His experiences in the IoT field and product developments include:

1. Wireless communications
2. Smart Agriculture
3. Micro Controllers
4. Arduino
5. Raspberry Pi
6. Edison Robotic
7. AWS
8. Node-red
9. GPS Tracking
10. RFID and NFC
11. Advertising TVs
12. Smart house

Nouar AlDahoul: Nouar AlDahoul is a PHD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and confrences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.