FAVORIOT

IOT TRAINING

The trainings have been designed for any IoT enthusiasts to obtain the
knowledge and apply it in the real-world implementations.
It is designed for participants to learn progressively.

3r party plugin

Experience hands-on practice using IoT device to send data to Favoriot IoT Platform using various communication protocols

iot platform

Familiarise Favoriot IoT Platform features, APIs and integrations

CMP

Design, implement and manage IoT solutions

Feature API Key

Understand the security requirements in deploying IoT solutions

Simple business rule creation process

Reduce time-to-market of your IoT solution using Favoriot IoT Platform

Favoriot IoT training is available for online sessions and on-site training as well. Contact us for more details.

Internet of Things (IoT) for Business Professionals

1 Day | (MBOT 5 CPD Hours) | Trainer: Dr. Mazlan Abbas, CEO - Favoriot

8 Topics

Course Summary:

This 1-day, fast-paced, immersive course on the Internet of Things (IoT) is specifically designed for business executives, business owners, and entrepreneurs who seek to understand the IoT landscape, its potential impacts on businesses, and how to leverage IoT for business transformation or as a new venture.

Course Outlines:

  1. Introduction to IoT
      • History and evolution of IoT
      • Core concepts of IoT: Sensors, Connectivity, and Applications
      • IoT’s role in Digital Transformation and Industry 4.0
  2. Benefits and Applications of IoT for Organizations
      • Exploring the 7Ms of business benefiting from IoT
      • Industries and applications of IoT technology
  3. Real-World Problems Solved by IoT
      • Understanding the practical problems IoT can address
      • Current and potential IoT applications
      • Identifying critical data for IoT success
  4. IoT Use Cases and Success Stories
      • Real-life examples of successful IoT implementations
      • Lessons learned from successful and failed IoT projects
      • Strategies for replicating IoT success in your organization
  5. IoT Business Models
      • Shifting from technology centric to outcome-based business models
      • Capitalizing on new revenue streams and business opportunities
      • Exploring innovative IoT-based business models and services
  6. Crafting an IoT Business Canvas
      • How-To Build IoT Business Model Canvas
  7. Overcoming Challenges and Identifying IoT Opportunities
      • Training your organization to spot IoT opportunities and develop business plans
  8. Taking the First Step in Your IoT Journey
      • Building an IoT Checklist

Join us for this comprehensive and engaging 1-day course on IoT for Business Professionals, and discover how IoT can revolutionize your organization.

Gain insights into the benefits and applications of IoT, learn to overcome challenges, and take advantage of new business opportunities.

Begin your IoT journey with confidence and transform your organization with the power of IoT!

Target Group (By designation): Business professionals, Entrepreneurs, Managers (Product, Sales, Marketing, Strategic, IT), Senior Executives, C-suite

Type of programme (Technical or Non-Technical): Non-Technical

Methodology: Face to Face

Targeted industries: All industries (not limited) – Education, Retail, Manufacturer, Government, Telcos, Startups, Transport, Healthcare, Agriculture, Building etc.

Internet of Things (IoT) Fundamentals with Favoriot Platform

2 Days (16 hours) | (MBOT 10 CPD Hours)

12 Topics

  1. Introduction to the Internet of Things
      • Understanding the IoT ecosystem and its components
  2. Introduction IoT Devices and features
      • Existing IoT devices and sensors
  3. Introduction to IoT connectivity and communication
      • Available connectivity for IoT and communication challenges
  4. Introduction to IoT Platform, Application, Security, Computing and Standardisation
      • IoT Platform categories, top IoT applications, security challenges, computing types and IoT standardisation
  5. Introduction to Favoriot Platform and its Hierarchy
      • User Profile and API Key
      • Hierarchy: Projects > Applications > Groups > Devices
  6. Hierarchy management in Favoriot Platform
      • Create, edit and delete the Hierarchy
      • Configure device’s: access token, location settings and operations
  7. Introduction to Arduino IDE & IoT Device
      • Installation and configuration of the Arduino IDE
      • Understanding the IoT device hardware components
      • Write a simple program for IoT device
  8. Understanding the Application Programming Interface (API)
      • Use Favoriot Platform APIs to simulate and test
      • Use third-party tool (postman and other web-based programs) to simulate data transmission and retrieval (using REST and MQTT)
  9. Interfacing Hibiscus Sense (or other development kits) to Favoriot IoT Platform
      • Create Projects, Applications, Groups and Devices (including the Auto create option)
      • View Data, export (download) data and analyse the data
      • Setting rules for incoming data using multiple channels
      • Send data to third-party system
      • Setup Telegram bot to receive alerts
  10. Use of different data protocols to send data to Favoriot Platform
      • Data transmission using REST API, MQTT and CoAP
  11. Using preconfigured source code for devices
  12. Favoriot Platform’s Dashboard feature
      • Create a dashboard, add widgets, customise the fields and make it public
      • Understand usage of various dashboard widgets
      • Trigger alert / send messages from dashboard widgets

Advanced Internet of Things (IoT) with Favoriot Platform

3 Days (24 hours) | (MBOT 15 CPD Hours)

6 Topics

  1. Introduction to the IoT Gateway
      • Configure the IoT Gateway environment
  2. Introduction to Node-RED
      • Understanding the flow editor (Node-RED) for Internet of Things
      • Configure the Node-RED environment
  3. Data transmission from IoT Device to IoT Gateway
      • Connecting the device to the gateway using Wi-Fi and Bluetooth
      • Interfacing data using TCP, UDP and Serial protocols
      • Data visualisation using Node-RED dashboard
  4. Data transmission from IoT Gateway to Favoriot Platform
      • Send data using REST API, MQTT and CoAP protocols
      • Send control from Favoriot Platform Dashboard using RPC via MQTT
  5. Building an IoT Web Application
      • Hierarchy and data management using REST API
      • Data visualisation (historical and real-time) using REST API and MQTT
      • Send control to the device and receive control from the web application using RPC via MQTT
  6. Understanding security and privacy risks on IoT projects

Mastering AIoT - From Theory to Practice

4 Days

8 Topics

Objectives:

  • Integrate AI and IoT: familiarize participants with the fusion of technologies.
  • Explore IoT ecosystem: understand architecture and components in depth.
  • Master Jetson Nano (or similar) for IoT: gain expertise in its architecture and components.
  • Connect and transmit: interface sensors with Jetson Nano, transferring data to the Favoriot IoT Platform.
  • Discover IoT data analytics: unlock insights using specialized techniques.
  • Empower creativity: design and build intelligent IoT applications with AI, Jetson Nano, Python, and the Favoriot IoT Platform.

 

By the end of the training, participants will achieve the following learning outcomes:

  1. Grasp the fundamental concepts of AI and its integration with IoT technologies.
  2. Develop the skills to create IoT applications using Jetson Nano, Python programming, and the Favoriot IoT Platform.
  3. Gain the ability to interface sensors with Jetson Nano and collect data for use in IoT applications.
  4. Apply data analytics techniques tailored for IoT to extract meaningful insights from collected data.
  5. Utilize machine learning algorithms for effective analysis and interpretation of IoT data.

These outcomes will equip participants with the knowledge and practical skills to confidently navigate the integration of AI and IoT, enabling them to design and build intelligent IoT applications and make informed decisions based on data-driven insights.

 

Training Modules:

  1. Introduction to IoT and Artificial Intelligence
      • Introduction to IoT
      • IoT Architecture and Ecosystem
      • Introduction to AI
      • Types of AI: supervised learning, unsupervised learning, and reinforcement learning
      • Understanding the concepts of AI and its applications in IoT
  2. Favoriot IoT Platform, Data Acquisition and Analysis for IoT
      • Introduction to data acquisition and analysis for IoT
      • Favoriot Platform User profile and API Keys
      • Favoriot Platform Hierarchy
      • Setup platform to receive sensor data
  3. Hardware for AI
      • Overview of Jetson Nano (or similar) hardware specifications
      • Setting up Jetson Nano for development
      • Basic of Linux commands for Jetson Nano
  4. Machine Learning Basics
      • Overview of data analytics techniques for IoT
      • What is Machine Learning?
      • Types of Machine Learning: Supervised, Unsupervised, Reinforcement
      • Machine Learning Algorithms
      • Overview of AI and machine learning concepts: data pre-processing, feature selection, and model selection
      • Hands-on activity: Building a simple linear regression model using scikit-learn and Jupyter Notebook
  5. Neural Network and Deep Learning
      • Overview of deep learning and neural networks
      • Understanding convolutional neural networks (CNNs) and recurrent neural networks (RNNs)
      • Autoencoders and Generative Adversarial Networks (GANs)
      • Hands-on activity: Building a simple CNN using Keras and Jupyter Notebook
  6. IoT Integration with Jetson Nano
      • Connecting Jetson Nano to IoT devices
      • Implementing edge computing solutions for real-time data processing
  7. Machine Learning Analysis of IoT Data
      • Preparing IoT data for Machine Learning Analysis
      • Applying Machine Learning Algorithms to IoT data
      • Visualising and Interpreting Machine Learning results
  8. Deployment and Optimisation
      • Deploying AI models on Jetson Nano
      • Optimizing models for real-time performance

 

Hardware:

  • Hibiscus Sense
  • reComputer Jetson Nano 4G Dev Kits
  • WiFi Dongle

Kindly fill in the form below if you are interested in joining or wanted to know more about our IoT Training. We will reach out to you as soon as possible!

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