Internet Of Things

Curriculum

The Course Curriculam

Week 1: Introduction to IoT

What is IoT? Understanding the IoT ecosystem.
Applications of IoT in smart homes, healthcare, agriculture, and more.
Overview of IoT architecture: Sensors, connectivity, data processing, and actuation.
Hands-on Practice: Set up a basic IoT-enabled device (e.g., a temperature sensor using Arduino).

Week 2: Sensors, Actuators, and Communication Protocols

Week 3: Microcontrollers and IoT Platforms

Week 4: Data Collection and Storage

Week 5: IoT Analytics and Visualization

Week 6: Security in IoT

Week 7: Edge Computing and AI in IoT

Week 8: Final Project and Future Trends in IoT

₹1000

Course Information

Instructor: vedupskilling@gmail.com
Lesson: 28
Duration: 40h
Quizze: 0

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Internet Of Things

The Course Curriculam

Week 1: Introduction to IoT

What is IoT? Understanding the IoT ecosystem.

Applications of IoT in smart homes, healthcare, agriculture, and more.

Overview of IoT architecture: Sensors, connectivity, data processing, and actuation.

Hands-on Practice: Set up a basic IoT-enabled device (e.g., a temperature sensor using Arduino).

Week 2: Sensors, Actuators, and Communication Protocols

Overview of sensors: Types and working principles (e.g., temperature, humidity, motion).

Introduction to actuators and their role in IoT.

Communication protocols: MQTT, HTTP, CoAP, and WebSocket.

Hands-on Practice: Connect sensors to a microcontroller and send data using MQTT.

Week 3: Microcontrollers and IoT Platforms

Introduction to microcontrollers and boards: Arduino, Raspberry Pi, ESP8266/ESP32.

IoT development platforms: Thingspeak, AWS IoT, Google Cloud IoT.

Programming microcontrollers for IoT applications.

Hands-on Practice: Upload sensor data to an IoT platform using ESP8266.

Week 4: Data Collection and Storage

Understanding data flow in IoT systems.

Data storage options: Cloud vs. local.

Introduction to databases for IoT (e.g., Firebase, MongoDB).

Hands-on Practice: Store IoT sensor data in a Firebase database.

Week 5: IoT Analytics and Visualization

Basics of data analysis and visualization for IoT.

Use of dashboards and analytics tools (e.g., Grafana, Tableau).

Hands-on Practice: Visualize real-time IoT data on a dashboard.

Week 6: Security in IoT

IoT security challenges and best practices.

Encryption techniques and secure communication protocols.

Hands-on Practice: Implement basic security features in an IoT system.

Week 7: Edge Computing and AI in IoT

What is edge computing? Benefits in IoT applications.

Integrating AI with IoT for smart systems.

Hands-on Practice: Build an edge-computing solution using a Raspberry Pi.

Week 8: Final Project and Future Trends in IoT

Emerging trends in IoT: 5G, Digital Twins, and Smart Cities.

Final Project: Develop a complete IoT system (e.g., smart home automation or a health monitoring system).

Presentation of the project and feedback session.