In collaboration with MyInvent through their MyDuino.com and FAVORIOT, we will be offering “Advanced IoT Workshop with FAVORIOT” on Sept. 23-24, 2017.

In this workshop, we will be using NodeMCU (Arduino-WiFi Compatible Device) as it can be implemented as the controller that is interfaced with sensors and actuators, which meant to be connected to FAVORIOT IoT platform. The connection of these controllers, sensors, and actuators to an IoT platform enable real-time control, data collection, and data analysis.

We recommend this workshop to anyone, who wants to learn how to integrate IoT devices and IoT platform to develop IoT solutions and applications.

Participation in this workshop will enable you to:

• Develop IoT projects with an integration of Arduino platform and Favoriot platform,
• Understand the hierarchy of devices management in Favoriot platform,
• Understand which IoT protocols are suitable to be implemented in your IoT project,
• Build a roadmap to develop and implement your own IoT solutions and applications.

WORKSHOP CURRICULUM

Getting Started with Favoriot IoT Platform

1. Getting Started with Favoriot Platform.
2. Understand Favoriot Hierarchy and JSON Data Format.
3. Create Project, Application, Group, and Device.
4. Favoriot REST API & MQTT.
5. REST API Testing with Postman.
6. Create Graph on Favoriot.
7. Create Email & SMS Rules on Favoriot.

Getting Started with NodeMCU

1. Getting Started with NodeMCU.
2. Install CP2102 USB Driver.
3. Install ESP8266 Library.
4. Read Humidity & Temperature Sensor.
5. Setting Up WiFi Connection.
6. Create JSON Data Format.
7. Update DHT11 to Favoriot Data Stream using REST API.

Integration of Favoriot MQTT, MQTT Client, and NodeMCU

1. What is MQTT?
2. Understanding Favoriot MQTT Protocol.
3. MQTT Testing with MQTT.fx on Desktop.
4. MQTT Testing with IoT MQTT Dashboard on Android.
5. Install MQTT Library on NodeMCU.
6. Setting Favoriot MQTT Protocol on NodeMCU.
7. Update DHT11 to Favoriot Data Stream using MQTT.
8. Control LEDs with MQTT Client App.

WORKSHOP DETAILS

• Weekend, 23 & 24 September 2017
• Time: 9:00AM to 5:00PM
• Venue: Myinvent, Shah Alam. (https://goo.gl/maps/vfq7n6uoiUQ2)

WORKSHOP PREREQUISITE

1. Basic in electronics.
2. Basic in Arduino programming.
3. Pre-Install Arduino in your laptop (download Arduino IDE from arduino.cc).
4. Bring your own laptop.

WORKSHOP FEE

RM265.00 (including GST)

Promo: Join this awesome workshop for only RM50, when you purchase a Myduino IoT Training Kit (Purchase it online now: http://www.myduino.com/index.php?route=product/product&product_id=1004)

Scilab and FAVORIOT

Trity Technologies Sdn Bhd in collaboration with FAVORIOT will be offering an “IoT-Made-Easy with Favoriot and Scilab IoT Module“ training. This course is developed to make the learning of IoT fun, high-level level programming language which is easily learned but yet powerful to produce a fast prototype of an IoT project.

Below is the course outline:

Getting Started with Scilab for IoT

• Introduction to IoT, from the “things” to the middleware.
• Understanding REST API and JSON.
• How Scilab could fit into the subdomains of IoT
• Interaction with FAVORIOT
• Hands-on practical 1: Software installation on PC
• Hands-on practical 2: Understanding API by example.

Sensors and Devices in IoT

• Introduction on the “Thing”
• Turning Arduino into a DAQ as a fast prototype (No coding in Arduino involved)
• Hands-on practical 3: Building a prototype of Smart Sensor with Scilab.

Sending Data to the Cloud

• Getting data from sensors and send the data to the cloud
• Hands-on practical 4: Connecting Arduino to Scilab and using Scilab as the station to upload the data to FAVORIOT

Getting Data from the Cloud

• Getting data from FAVORIOT with Trity’s Scilab IoT module
• Hands-on practical 5: Using Trity’s Scilab IoT module to extract the data uploaded to the FAVORIOT previously

 Project: Building A Simple IoT System with Scilab and FAVORIOT

To obtain details of the course (fee, location and etc.), kindly obtain a registration form by email tina@tritytech.com

Provide them with your name, organization & mobile contact number.

You may also call Trity Technologies at +603-80637737 or fill up their Training Enquiry form.