This course is meant for IoT enthusiasts with zero hardware knowledge. The course will teach you useful knowledge by building simple hardware prototypes.
Price before GST
Internet of Things (IoT) is the considered the driving force of the next industry revolution, Industry 4.0. As the name suggests, IoT is about devices connected to the internet. It is a very exciting area to be in. At home, we are only beginning to see air conditions being able to be controlled remotely by a mobile app. There are tons of devices can be IoT-ed. Outside home, in the commercial world, there is a huge demand to monitor and collect data from various machines.
In the past, hardware development requires specific circuit board and obscured programming languages. In 2004, Arduino was introduced to the world as the first programmable board for hobbyists. It gives the possibility of every programmer to hack their own hardware device. In 2012, Raspberry Pi (RPi) came to the market. On top of Arduino’s functionalities, it has a full operating system with much more powerful processing power. RPi has opened more doors for DIY enthusiasts. The internet is flooded with wonder projects using RPi. The only limitation is your imagination now.
This course is meant for IoT enthusiasts with zero hardware knowledge. The course will teach you useful knowledge by building simple hardware prototypes. It covers both the hardware and the software sides of IoT project creation. The following topics will be covered:
- Introduction to IoT and its significance
- Introduction to electronic signals and different pins on Raspberry Pi board
- Installation and introduction to Raspbian: a linux operating system for RPi
- Basic electronic components: resistor, capacitor and transistors
- Blinking and LED light, the “Hello World” of hardware programming
- Programming a web server with Flask: a python web framework
- How to use AWS IoT Core for data collection and visualisation
- Explore various sensors
- Building a health monitoring system for elderlies with a motion sensor
- Concepts of using AI to learn and predict health status based on the data collected with motion sensor
- Security and IoT
Our mini projects will build an universal internet enabled remote controller, a sound reactive LED light, a temperature data collection system and a motion data collection system to monitor elderlies’ physical activities in the house.
We will be providing each student a new Raspberry Pi set and Soldering Tools.
There are no open runs for this course at the moment. If you're interested in taking this course, you may join the waitlist and you will be notified when there are vacancies.
Attend coding classes taught by true experts working in the industry. Get practical instructions and interact with these practitioners during the classes.