Skills and Technology Adoption Readiness (STAR) for Artificial Intelligence of Things (AIoT) Platform Deployment and Insights
About This Course
Artificial Intelligence of Things (AIoT) Platform Lite focuses on application of technology to enable rapid deployment of Internet of Things (IoT) platform on cloud for IoT data collection and insights generation for decision making. This course will show how organisations can leverage on infrastructure as code technology (IaC) to rapidly deploy the AIoT platform on their cloud infrastructure, configure the platform to capturing data from IoT devices via Message Queuing Telemetry Transport (MQTT) protocol, and leverage on python programming to perform data analytics and visualisation to support decision making.
The course includes a supervised field training project that equips participants with hands-on experience to manage the platform on cloud infrastructure, with support from the trainer.
At the end of the course, participants will have a working prototype of the platform running on the cloud infrastructure of their Amazon Web Service (AWS) account, that they can used to capture data from their IoT devices and perform data analytics and visualisations.
What You'll Learn
1. Explain the architecture and features of Artificial intelligent of Things (AIoT) Platform.
2. Explain Infrastructure as Code (IaC) technology and how it can help to manage application deployment
3. Apply the IaC technology to rapidly deploy AIoT Platform on their AWS cloud.
4. Explain Message Queuing Telemetry Transport (MQTT) protocol and its strengths and weaknesses
5. Configure AIoT platform to capture IoT data through MQTT protocol.
6. Create Charts and Graph to display IoT data to support decision-making with Python programming.
Entry Requirements
Basic python programming knowledge is required to enrol for this course.