Course Outline

  • Basics of IoT devices
    • Architecture of IoT system – IaaS vs PaaS based IoT system
    • Basics of “The things”, Sensors, business functions and mapping between them to build deliverable IoT data.
    • Essential components of IoT system- Hardware, Middleware, Security, Fleet manager (sensors and things manager), sensor onboarding, thing onboarding, geofencing, time series data, alert/alarm, data visualization
    • AWS Paas functions for Middleware, Security, Fleet manager, alert/alarm etc.
    • IoT device security, why we need it?
  • Basics of IoT device communication with cloud with MQTT
    • Early history of IoT communication.
    • Basics of MQTT and why we use MQTT for IoT devices.
    • Message queue and PubSub system.
  • Connecting IoT devices to AWS with MQTT (AWS IoT Core)
    • How to configure IoT core to connect your device.
    • Onboarding and deboarding sensors
    • Onboarding and deboarding of “The things”
  • Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB
    • Connect AWS Core with AWS Lambda.
    • What is AWS Lambda.
    • What is DynamoDB.
    • Collect data from AWS IoT Core and store it to DynamoDB using Lambda.
  • Connecting Raspberry PI with AWS IoT core and simple data communication
    • Code on Raspberry PI to connect with AWS IoT Core using python.
    • Send and receive data.
    • AWS SDK/Functions for Middleware security, connectivity and device management
  • Hands on with Raspberry PI and AWS IoT Core to build a smart device
    • Code on Raspberry PI to read data from sensor and send it to AWS.
    • Code on AWS Lambda to read sensor data, process it and control the device based on sensor data to make the device smart.
  • Sensor data visualization and communication with web interface
    • Building a simple Angular based application to visualize sensor data and host it on AWS S3 for public access.
  • SaaS on PaaS for AWS IoT : How to build a SaaS network around AWS Lambda
  • Alert and event capture
  • Sensor calibration
  • Rule addition for alert and events

Requirements

Purpose:

Currently any new IoT development must be done on PaaS (Platform as a service) IoT infrastructure. Leading PaaS IoT systems include, Microsoft Azure, AWS IoT (Amazon), Google IoT cloud and Siemens Mindsphere etc. It’s also important for the developers to know associated PaaS functions necessary to connect IoT data to other ecosystem. In this course a customer will be trained hands on with a Raspberry Pi, a multi-sensor TI sensor Tag chip (which has 10 sensors built in – motion, ambient temperature, humidity, pressure, light meter etc.). A trainee will learn basics of all IoT functions and how to implement them in AWS IoT PaaS cloud using Lambda functions.
  8 Hours
 

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Testimonials

IOT applications

Palaniswamy Suresh Kumar - Makers' Academy

The trainer is good - willing to share, ask question and answer queries. The trainer's first hand sharing on the different types of IoT, different applications (e.g., in durians), the demonstration parts.

Makers' Academy

I genuinely liked the new technology.

- PCCW

examples, preparation of materials, level of knowledge of trainer, excellent communication

Michał Krasucki - Instytut Lotnictwa

Practice parts

- Instytut Lotnictwa

The training is practical and it is good for understanding how to use AWS step by step

- PCCW

That it was all new technology and offerings to myself. After being shown how quick and easy it is to set up certain services in AWS, I feel I could get a real benefit out of it for quick project and proposal prototyping.

MDA Systems Ltd.

Fernando knew the products and how to use them. His willingness and friendliness to assist in the hands-on lab was great.

MDA Systems Ltd.

There was a good general pass over what seemed like the most important parts of AWS. The instructor was open to questions and addressed areas of AWS that were not part of the outline based on our questions.

MDA Systems Ltd.

I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.

William Crowdis - MDA Systems Ltd.

Thought it was a good overview of a lot of different services. Liked the detail on IAS.

MDA Systems Ltd.

Explaining why it's financially viable to do these things

MDA Systems Ltd.

It provided context for the things we do in AWS.

MDA Systems Ltd.

Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.

Matt Sartain - MDA Systems Ltd.

Hands-on labs

MDA Systems Ltd.

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