Duration 5 days – 35 hrs
Overview
This comprehensive IoT (Internet of Things) training course provides participants with a deep understanding of IoT technologies, architectures, protocols, and real-world applications. The course covers both hardware and software components of IoT systems, including sensors, microcontrollers, cloud integration, and data analytics. Through hands-on labs and guided exercises, participants will learn to design, develop, and deploy IoT solutions suitable for smart homes, industrial automation, agriculture, healthcare, and more.
Objectives
- Understand the core concepts and architecture of IoT systems
- Work with sensors, actuators, and IoT hardware (e.g., Arduino, Raspberry Pi)
- Connect devices using IoT communication protocols (MQTT, HTTP, etc.)
- Interface IoT devices with cloud platforms (e.g., AWS IoT, Azure IoT Hub)
- Collect, process, and visualize IoT data
- Implement basic security best practices for IoT environments
- Develop and present a working IoT project prototype
Audience
- IT professionals and developers looking to upskill in IoT
- Embedded systems engineers and electronics hobbyists
- Automation engineers and system integrators
- Students and educators in technology and engineering fields
- Tech enthusiasts interested in building smart applications
Pre- requisites
- Basic understanding of networking concepts
- Familiarity with programming (preferably Python or C/C++)
- Background in electronics or hardware (optional but beneficial)
Course Content
Module 1: Introduction to IoT
- What is IoT?
- Evolution and trends in IoT
- Use cases in various industries (Smart Cities, Health, Agriculture)
Module 2: IoT Architecture and Ecosystem
- Components: Devices, Gateways, Networks, Cloud, Apps
- IoT reference models and layers
- Overview of IoT platforms
Module 3: Hardware for IoT
- Microcontrollers and development boards (Arduino, Raspberry Pi)
- Sensors and actuators: types, interfacing, data acquisition
- Wiring, power, and real-world integration
Module 4: Communication and Networking Protocols
- IoT-specific protocols: MQTT, CoAP, Zigbee, LoRa, Bluetooth LE
- IP-based communication (HTTP/REST)
- Setting up WiFi/Bluetooth on devices
Module 5: IoT Software Development
- Programming devices (Arduino IDE, Python for Raspberry Pi)
- Device-to-device and device-to-cloud communication
- Local data storage and processing
Module 6: Cloud and Data Integration
- Connecting to cloud services (AWS IoT, Azure IoT Hub, Google Cloud IoT)
- Data collection, dashboards, and analytics
- Cloud storage and real-time monitoring
Module 7: Security in IoT
- IoT security threats and vulnerabilities
- Best practices for securing devices and data
- Authentication, encryption, and secure communication
Module 8: IoT Project Development
- Planning and designing an IoT solution
- Building and testing a real-world use case (e.g., Smart Home Monitor)
- Final presentations and feedback
