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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

5 Days Internet of Things with Raspberry Pi Specialization

This Internet of Things (IoT) Specialization  introduces you to the exciting, high-demand field of Internet of Things *IoT). Through a series of hand on practical exercises, you will gain applied experience in major areas of Internet of Things with Raspberry PI g. You will learn to analyze data and  build IoT applications with realistics case studies.

This five days classroom facilitator Internet of Things Specialisation course will build your IoT applications 

Course Highlights

  • Reaspberry Pi Basics
  • Sensing Data with Raspberry Pi
  • IoT via Raspberry Pi
  • Node-Red
  • Wroking Raspberry Pi with Lora

Certificate

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

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M1051

Course Booking

MYR5,200.00

Course Date

Course Time

* Required Fields

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
Module 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
Module 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
Module 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
Module 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
Module 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 Admin

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.

Funding Validity Period

Valid from 13 May 2019 to 31 Mar 2021

Mode of Training

Instructor-led Classroom Training

CITREP+ Claim Procedure

Trainees who wish to claim for CITREP+ funding must submit their online claim applications to IMDA via ICMS upon course or certification completion. Please refer to the Claim Application Guide for detailed application procedures.

For Organisation-Sponsored Trainees, the claim application will be submitted by the sponsoring organisation.

For Self-Sponsored Trainees, the claim application has to be completed by the individual.

All claims for CITREP+ disbursement must be submitted to IMDA within three (3) months from completion date of the last examination or final post-training assessment. Late submissions will not be accepted. Applications with incomplete supporting documents will be rejected for processing.

CITREP+ Funding Support

Category Type Training course and certification
Organisation- sponsored Non SMEs Up to 70% of the nett payable course and certification fees, capped at $3,000 per trainee
SMEs Up to 90% of the nett payable course and certification fees, capped at $3,000 per trainee
Professionals (40 years old and above)
Self-Sponsored Professionals Up to 70% of the nett payable course and certification fees, capped at $3,000 per trainee
Professionals (40 years old and above) Up to 90% of the nett payable course and certification fees, capped at $3,000 per trainee
Students and/or Full-Time National Service (NSF) Up to 100% of the nett payable course and certification fees, capped at $2,500 per trainee

CITREP+ Forms

Who Should Attend

  • NSF or Full Time Students
  • Data Analysts
  • Machine Learning Engineers and Developers

Trainers

Lora IoT TrainerReza 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 Telecommunications. 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
  • Expert on Embedded System Design, Raspberry Pi and Arduino
  • Expert on IBM Blunix and IBM Watson
  • More than 3 years of experience in filed of IoT solutions.
  • He is the designer of below IoT Projects in the 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

Python TrainerSaeid 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

LoRa IoT TrainerTerrence Yen Lean Wei has Graduated with a degree in Electrical & Electronic Engineering. Terrence spent 5 years in the semiconductor industry specializing in the field of test and characterization. Completed Masters in Informatics from the school of computer science University Sains Malaysia. Currently working as a Requirements Manager responsible for defining the process in the automotive field. Conducted corporate training from time to time in the following topic:

  •  Advance raspberry pi
  • Engineering Mathematics
  • Arduino Programming
  • R programming and statistics

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