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IoT Training
IoT Training
Curriculum
10 Sections
30 Lessons
36 Hours
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Module 1: Introduction to IoT
3
1.1
What is IoT? Overview and Applications
1.2
IoT Architecture and Components
1.3
Market Trends and Industry Use Cases
Module 2: IoT Hardware & Sensors
3
2.1
Introduction to Microcontrollers (Arduino, ESP32) and Single-Board Computers (Raspberry Pi)
2.2
Working with Sensors (Temperature, Motion, Humidity, Gas, etc.)
2.3
Actuators and Relays for IoT Applications
Module 3: Programming for IoT Devices
3
3.1
Basics of C/Python for IoT Development
3.2
Interfacing Sensors with Arduino and Raspberry Pi
3.3
Data Collection and Processing
Module 4: IoT Communication Protocols
3
4.1
Introduction to Communication Protocols (HTTP, MQTT, CoAP)
4.2
Bluetooth Low Energy (BLE) and Wi-Fi Connectivity
4.3
IoT Data Transmission using MQTT
Module 5: IoT and Cloud Integration
3
5.1
Introduction to Cloud Computing for IoT
5.2
Connecting IoT Devices to Cloud Platforms (AWS IoT, Google Cloud IoT, Azure IoT Hub)
5.3
Storing and Analyzing IoT Data in the Cloud
Module 6: IoT Security & Best Practices
3
6.1
IoT Security Threats and Challenges
6.2
Data Encryption and Secure Communication
6.3
Best Practices for Securing IoT Devices and Networks
Module 7: Edge Computing in IoT
3
7.1
What is Edge Computing?
7.2
Processing Data at the Edge vs. Cloud
7.3
Implementing Edge AI on IoT Devices
Module 8: IoT Project Development
3
8.1
Designing an End-to-End IoT System
8.2
Building a Smart Home or Smart Agriculture IoT Project
8.3
Debugging and Optimizing IoT Applications
Module 9: IoT Deployment & Maintenance
3
9.1
Deploying IoT Solutions in Real-World Scenarios
9.2
Remote Monitoring and Device Management
9.3
Performance Optimization and Troubleshooting
Module 10: Capstone Project & Certification
3
10.1
Final Project: Developing and Deploying an IoT Application
10.2
Industry Use Case Implementation
10.3
Certification and Career Guidance
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Final Project: Developing and Deploying an IoT Application
Certification and Career Guidance
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