Course Details
Day 1
Topic 1 Basic Raspberry Pi
Topic 1.1: Introduction to Raspberry Pi
- What is Raspberry Pi
- What can Raspberry Pi Do
- Raspberry Pi Layout
- Raspberry Pi Accessories
Topic 1.2: Setup Raspberry Pi
- Install Raspbian
- Setup WiFi
- Setup SSH
- Setup VNC
- Configure Keyboard
- Explore the Raspbian Interface
- Terminal Commands
Topic 1.3: Controlling LEDs
- Raspberry Pi GPIO
- Connect LEDs to Raspberry Pi
- Control LEDs with Scratch Programming
- Control LEDs with Python Programming
Topic 1.4: Sensing Temperature and Humidity Data
- Connect DHT11 Sensor to Raspberry Pi
- Sensing Temperature and Humidity Data
Day 2
Topic 2 Build Applicatons with Raspberry Pi
Topic 2.1: Setting Up Web and Email Servers
- Setup Raspberry Pi as Webserver
- Create a simple website
- Create a simple web app for LED control
- Send out Email from Raspberry Pi
Topic 2.2: Sensing Data with Sensors
- Overview of Sensehat
- Sensing Pressure,Temperature and Humidity with Sensehat
- Challenge: Sending Sensehat data to Email
- Sensing Distance with Ultrasonics Sensor
Topic 2.3: Controlling Components
- Controlling DC Motor
- Challenge: Control DC Motor with Distance Sensing
Topic 2.4: Displaying Data
- Setup LCD Display
- Show User Input on LCD
- Challenge: Display Distance Data on LCD
- Data Visualization with ThinkSpeak IoT Platform
Day 3
Topic 3 Node-Red on Raspberry Pi
Topic 3.1 Overview of Node-Red
- Overview of Node-Red
- Install Node.js and Node-Red
- Flows and Nodes
- Message Object
- Basic Node Operations
- Export and Import Flows
- Subflows
- Palette Manager
Topic 3.2 Function Node
- Function node
- Modify Message Object Properties
- Multiple Outputs
- Storing Data in Node-Red Variables
- Reusing Function Node
Topic 3.3 HTTP Node and RESTFUL API
- HTTP Request
- RESTFUL API
- Create a HTTP Endpoint
Topic 3.4 MQTT Node
- What is MQTT
- How MQTT Work?
- IoT vai MQTT
- Internet MQTT Broker Available
- Install Local Mosquitto MQTT Broker
- Test Out MQTT
Topic 3.5 Dashboard Node
- Install Dashboard Node
- Access Dashboard UI
- Dashboard Layout
- Dashboard Widgets
Topic 6 SQLite Node
- Install SQLite Node
- CRUD Operations using SQLite Node
Day 4
Topic 4 Raspberry Pi IoT
Topic 4.1 Overview of IoT
- What is IoT?
- IoT Architecture
- Gateway Technologies
- IoT Landscape
Topic 4.2 Introduction to Node Red
- What is Node-Red?
- Install Node-Red
- Node Operations
- Install Dashboard Nodes
Topic 4.3 Node-RED Raspberry Pi GPIO
- Raspberry Pi GPIO Nodes
- Controlling LEDs with Node-Red
Topic 4.4 Sensing Data with Sense HAT
- Sensing Data with Sense HAT
- Display Sense HAT Data on UI
- Display Data to Sense HAT LED Matrix
Topic 4.5 Raspberry IoT via MQTT
- What is MQTT?
- Test Out MQTT
- Publish/Subsribe Sense HAT Data via MQTT
Day 5
Topic 5 LoRa integration with Raspberry Pi
Topci 5.1 Overview of LoRa & LoRaWAN
- What is LoRaWAN
- What is LoRa
- LoRa Network Topology
- LoRa Gateway and End Node
Topic 5.2 Setup LoRa Client and Server
- Overview of LoRa Shield
- Install LoRa Library
- Setup LoRa Client
- Setup LoRa Server
Topic 5.3 Transmitting Environment Data Over LoRa
- Setup DHT Sensor
- Install DHT Library
- Sensing and Transmitting DHT Data
- Receiving DHT Data
Topic 5.4 Data Visualization using Node-Red
- What is Node-Red
- Install Node-Red on Raspberry Pi
- Connect Raspberry Pi to Arduino
- Stream Data via Serial Node
- Split DHT Data via Function Node
- Install Dashboard Node
- Display DHT Data with Dashboard
- Case Studies
Course Info
Prerequisite
The learner must meet the minimum requirement below :
- Read, write, speak and understand English
Target Audience
- NSF
- Full Time Students
- Data Analysts
Software Requirement
This course will use Google Colab for training. Please ensure you have a Google account.
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.
Job Roles
- 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
Trainers
Saeid: Saeid is co-founder of Skymics sdn bhd, he has 8 years experience in field of IOT (Internet of things) and Information Technology. He is a certified IBM IoT Practitioner and instructor and Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventors of 3 inventions during the last 4 years.
He has worked across wide domains such as, data analytics, IoT, social media analytics, smart cities energy management, smart plantations. In addition, 5+ years of experience in data processing, visualization, and analytics. He is expert in Power BI, Qlikview, and Tableau.
Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.
Muhammad Syamsi: Muhammad Syamsi graduated from International Islamic University Malaysia, Kuala Lumpur with BSc in Electronic-Computer Information Engineering before pursuing Master in Telecommunication Engineering at UITM, Shah Alam. He is now the Software Engineer at Willowglen Malaysia Sdn Bhd. His experience includes integrating Raspberry Pi with SCADA system via modbus protocol and compiling MQTT protocol for use of SCADA RTU. Besides, he also one of front end web developer in his company. He has also acquired good background experience in teaching electronic and electrical since he was a lecture at Kolej WIT Klang