Duration 3 days – 21 hrs
Overview
The IoT Beginners Training Course introduces participants to the fundamentals of the Internet of Things (IoT). It covers essential concepts such as IoT architecture, hardware and sensors, communication protocols, data collection, and cloud integration. The course combines theory with hands-on activities to help participants understand how IoT systems are built, deployed, and used in real-world scenarios across industries like smart homes, healthcare, manufacturing, and transportation.
Objectives
- Understand the key concepts and components of IoT systems.
- Explore IoT architecture including sensors, devices, networks, and cloud.
- Identify common IoT communication protocols and technologies.
- Set up and configure basic IoT devices and sensors.
- Collect, process, and visualize IoT data.
- Recognize IoT use cases and applications across industries.
- Understand security and privacy considerations in IoT solutions.
Audience
- Beginners interested in IoT fundamentals
- IT professionals seeking to expand into IoT technologies
- Engineers, developers, and students exploring IoT concepts
- Business professionals and decision-makers wanting to understand IoT opportunities
Pre- requisites
- Basic computer literacy
- General understanding of networking and cloud concepts (helpful but not required)
- No prior IoT experience necessary
Course Content
Module 1: Introduction to IoT
- What is IoT? Evolution and trends
- IoT ecosystem: devices, networks, platforms, and applications
- IoT use cases across industries
Module 2: IoT Architecture and Components
- Sensors, actuators, and edge devices
- Gateways and communication layers
- Cloud and IoT platforms
Module 3: IoT Hardware and Devices
- Overview of popular IoT hardware (Arduino, Raspberry Pi, ESP32)
- Connecting sensors and actuators
- Hands-on: Building a simple IoT device
Module 4: IoT Communication Protocols
- Wi-Fi, Bluetooth, Zigbee, LoRaWAN, MQTT, CoAP
- Data transmission and message handling
- Selecting the right protocol for the use case
Module 5: Data Collection and Visualization
- Collecting data from IoT devices
- Storing data in cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT)
- Data visualization using dashboards and tools
Module 6: IoT Applications and Case Studies
- Smart homes and cities
- Industrial IoT (IIoT)
- Healthcare and wearable devices
- Transportation and logistics
Module 7: Security and Privacy in IoT
- Common IoT security risks
- Best practices for securing devices and networks
- Regulatory and compliance considerations
Module 8: Hands-On Project
- Build and deploy a simple IoT application
- Collect and visualize sensor data
- Present the project findings
