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

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

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

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
   1. • Deploying AI models on Jetson Nano
      • Optimizing models for real-time performance

Course Summary:

This engaging and comprehensive 2-days course offers an in-depth exploration into the realm of smart cities. Participants will embark on a journey through the core concepts, technological advancements, and strategic approaches that define smart city development.

Course Outlines:

1. Foundation of Smart Cities
   • • What is Smart City?
     • Problems of Smart Cities
     • Application and Benefits
2. Global Insights and Local Endeavours
   • • Global Smart Cities Projects
     • Malaysia Smart City Indicators
     • Smart Cities and ESG
3. Technological Synergies
   • • Smart Cities and Blockchain
4. Integrative Technologies
   • • Smart Cities and IoT + What is IoT?
5. Business Modelling
   • • Business Model Canvas for Smart City Applications
     • Smart Cities Business Models
6. Success Analysis
   • • Key Success Factors and Failures