Eligibility      :          Diploma in (Mechanical / Mechatronics / Electrical / Electronics) / B.Tech in (Electrical / Electronics) / BSc Physics

Age              :          18 years & Above

Course Objective :   

The candidate is proficient to Understand IoT Fundamentals, IoT architecture, devices, networks, cloud platforms, and applications. Able to implement IoT Communication Protocols, professional deployment of IoT technology in specific industry applications such as smart homes, industrial automation, smart cities, and healthcare.

Course Content :

1. Introduction to IoT

• Overview of IoT – Definition and fundamentals of IoT, Historical development and evolution of IoT, Key components and architecture of IoT systems
• IoT Applications – Real-world applications across various industries (smart cities, healthcare, agriculture, manufacturing, etc.), Case studies of successful IoT implementations

2. IoT Hardware and Devices

• Basic Components – Sensors (Temperature, Humidity, Motion, etc.) and actuators: Types, working principles, and applications, Microcontrollers and development boards: Arduino, Raspberry Pi, ESP32
• Embedded Systems, Integration of microcontrollers with IoT devices, Basics of embedded systems and their role in IoT
• Device Setup and Configuration – Assembling IoT Devices – Connecting Sensors and Actuators – Basic Troubleshooting

3. IoT Communication Protocols

• Networking Fundamentals – Basic networking concepts relevant to IoT, IP addressing, routing, and network types (LAN, WAN),
• IoT Communication Protocols – MQTT: Protocol details and implementation, CoAP: Features and use cases, HTTP/HTTPS: Basics and application in IoT, LPWAN Technologies: LoRa, Sigfox, NB-IoT
• Connectivity Technologies – Wireless Technologies (Wi-Fi, Bluetooth, Zigbee, LoRa, NB-IoT) – Wired Technologies (Ethernet, RS-232, RS-485)
• Wireless Technologies – Zigbee, Bluetooth, Wi-Fi: Applications and configurations

4. Data Management and Processing

• Data Collection – Methods and technologies for collecting data from IoT devices – Security Fundamentals – Security Risks and Threats – Vulnerabilities in IoT Systems

• Data Storage – Local vs. cloud storage solutions
• Data Processing – Edge computing vs. cloud computing, Data aggregation and analysis
• Data Visualization – Tools and techniques for visualizing IoT data, Creating dashboards and reports,

5. IoT Security and Privacy

• Security Challenges – Common vulnerabilities and risks in IoT systems
• Best Practices – Encryption, authentication, and authorization strategies
• Privacy Considerations – Data privacy regulations and compliance (GDPR, CCPA)
• Security Solutions – Implementing security measures and protocols

6. IoT Cloud Platforms

• Overview of IoT Platforms – Introduction to cloud-based IoT platforms (AWS IoT, Microsoft Azure IoT, Google Cloud IoT)
• Platform Features – Device management, data storage, and analytics
• Integration – Connecting IoT devices to cloud platforms, Utilizing cloud services for various IoT functionalities

7. IoT Application Development

• Development Process – Steps in developing an IoT application from concept to deployment
• APIs and SDKs – Using APIs and SDKs for IoT application development
• Mobile and Web Integration – Developing mobile and web applications for IoT devices
• Testing and Prototyping – Techniques for testing IoT applications and prototypes

8. IoT Project Management

• Industry Applications – Smart Home – Industrial IoT (IIoT) –  Smart Cities – Healthcare
• Case Studies – Real-World IoT Implementations – Lessons Learned and Best Practices
• Project Planning – Defining project goals, scope, and deliverables
• Resource Management – Budgeting, scheduling, and resource allocation
• Deployment – Strategies for deploying IoT solutions
• Monitoring and Maintenance – Ongoing monitoring and maintenance of IoT systems

9. Hands-On Projects and Labs

• Practical Exercises – Building and programming IoT devices, Implementing and testing communication protocols
• Capstone Project – Comprehensive project that integrates various aspects of IoT learned during the training
• Advanced Projects – Integrating IoT Devices with Cloud Platforms – Developing an IoT Solution for a Specific Industry \ Troubleshooting and Debugging – Common Issues and Solutions – Using Diagnostic Tools
• Practical Hands-On Projects
• Case Study Analysis

10. Future Trends and Emerging Technologies

• Industry 4.0 – Impact of IoT on Industry 4.0 and smart manufacturing
• Advanced IoT Technologies – Integration with AI and machine learning, 5G and its implications for IoT
• Innovations in IoT – Latest trends and technologies in the IoT landscape