Internet of Things (IoT)

1. Program Overview

The IoT  training programe is a foundational, hands-on training program covering the design, development, implementation, and management of Internet of Things systems.

The course blends electronics, networking, embedded systems, cloud integration, and IoT security.

2. Duration

• Total Duration: 3–6 Months
• Learning Hours: 120–180 Hours
• Mode: Classroom / Online / Hybrid
• Format: Lectures, Labs, Projects, Exams

3. Target Audience

• Students and beginners entering the IoT field
• Junior engineers / technicians
• Developers learning embedded systems
• Professionals upgrading into IoT roles

4. Learning Outcomes

Learners will be able to:

✔ Understand IoT concepts, architectures, and ecosystems

✔ Work with microcontrollers (Arduino, ESP32, Raspberry Pi)

✔ Integrate sensors, actuators & communication modules

✔ Build IoT prototypes and cloud-connected devices

✔ Use IoT platforms (AWS IoT, Google Firebase, ThingsBoard)

✔ Implement basic IoT security and data management

✔ Deploy end-to-end IoT systems

5. Course Structure & Modules

Module 1: Fundamentals of IoT

Topics:

• What is IoT?
• IoT architecture (perception, network, application layers)
• IoT ecosystems & applications
• Edge, fog & cloud computing
• Introduction to embedded systems

Lab:

• Explore IoT development boards
• Simple LED control using Arduino

Module 2: Electronics for IoT

Topics:

• Basic electronics (voltage, current, resistance)
• Breadboards, wiring, sensors & actuators
• Digital vs analog signals
• Power management

Lab:

• Interfacing sensors (temperature, humidity, motion)
• Using relays, motors & actuators

Module 3: IoT Hardware Platforms

Topics:

• Arduino basics
• ESP8266 / ESP32 microcontrollers
• Raspberry Pi fundamentals (Linux-based IoT)
• GPIO control

Lab:

• Reading sensor data (Arduino/ESP32)
• Raspberry Pi basic setup & GPIO programming

Module 4: Communication Technologies

Topics:

• IoT Communication Protocols:
• Wi-Fi
• Bluetooth & BLE
• Zigbee
• LoRaWAN
• RFID & NFC
• MQTT, HTTP & CoAP protocols

Lab:

• Data transmission using MQTT
• ESP32 Wi-Fi communication project

Module 5: IoT Programming

Topics:

• C/C++ programming basics for microcontrollers
• Python for IoT (Raspberry Pi)
• Arduino IDE, PlatformIO
• Sensor data acquisition & processing

Lab:

• Build a multipurpose sensor dashboard
• Real-time data collection script

Module 6: IoT Cloud Platforms

Topics:

• Introduction to IoT cloud platforms
• AWS IoT Core, Google Firebase, Azure IoT
• MQTT brokers
• Cloud dashboards & automations

Lab:

• Send sensor data to Firebase/AWS IoT Core
• Build an online dashboard

Module 7: Data Processing & Visualization

Topics:

• IoT data formats (JSON, CSV)
• Edge analytics
• Visualization dashboards (Grafana, ThingsBoard)
• Alerts & automation

Lab:

• Create a dashboard with charts & alerts
• Real-time visualization from sensors

Module 8: IoT Security

Topics:

• IoT vulnerabilities
• Secure device design
• Encryption & authentication
• Firmware updates
• Network segmentation

Lab:

• Secure communication using TLS
• Hardening an IoT device configuration

Module 9: IoT Project Development

Topics:

• Designing end-to-end IoT solutions
• Prototyping
• Testing & optimization
• Documentation

Lab:

• Build a complete IoT system (sensor → controller → cloud → dashboard)

6. Assessments

Continuous Assessments

• Module quizzes
• Lab assignments
• Mini-projects

Mid-Term Assessment

• 30 MCQs
• 2 practical tasks:
• Sensor interfacing
• Data communication exercise

Final Project (Capstone)

Students build a full IoT prototype such as:

Sample Projects:

• Smart Home Automation System
• Smart Agriculture Monitoring
• IoT Weather Station
• Health Monitoring Wearable
• Smart Parking System
• Industrial IoT Monitoring System

Evaluation Criteria:

• Hardware design
• Code quality
• Cloud integration
• Security considerations
• Final presentation

Final Exam

• 50 MCQs
• Practical test on programming, sensors, and cloud integration

7. Certification Requirements

Learners must:

✔ Complete all modules & labs

✔ Submit final project

✔ Pass final exam (minimum 60%)

✔ Demonstrate safe & effective use of IoT tools

8. Career Opportunities

Graduates can pursue roles such as:

• IoT Technician
• IoT Developer (Junior)
• Embedded Systems Assistant
• IoT Support Engineer
• Automation Technician
• Smart Device Integrator