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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

5 Days Raspberry Pi IoT Specialization

Embark on a transformative journey into the realm of Raspberry Pi and Internet of Things (IoT) with our 5-Day Specialization Course. The program commences with grounding participants in Raspberry Pi basics, setting a robust foundation for the intricate lessons ahead. As the course progresses, attendees will delve into the art of data sensing using Raspberry Pi, harnessing the power of this versatile microcomputer to capture, analyze, and react to environmental factors, paving the way for smarter, more responsive IoT systems.

The learning curve then ascends to IoT integration techniques specific to Raspberry Pi, introducing participants to the dynamic world of Node-Red – a pivotal platform for wiring together devices. The climax of this intensive course centers on the integration of Raspberry Pi with LoRa, a long-range communication platform, empowering attendees to craft expansive IoT networks with wider reach and reliability. By the course's culmination, participants will emerge as well-versed Raspberry Pi IoT specialists, primed to lead in the continually evolving world of connected devices.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M1051

Course Booking

MYR5,000.00

Course Date

Course Time

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


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

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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

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