Full Course Description
Master Internet of Things (IoT). Learn sensor integration, cloud connectivity, and embedded systems with hands-on projects.
Course Overview
- Course Duration:1.5 Months (Including Lab Work, Internship, and real-world assignment).
- Eligibility: Undergraduates Graduates career Seekers School learners (10th and above).
- School learners (10th and above).
- Modes of Training: Online Classes/Offline Training (at selected centers).
- Projects:Available – Real-world IoT-based application development projects.
IoT (Internet of Things) Certification Training Course
- Understand the fundamentals and architecture of the Internet of Things ecosystem.
- Learn how sensors, actuators, and microcontrollers interact in IoT systems.
- Program IoT devices using Arduino, Raspberry Pi, and Python.
- Work with real-time data transmission through MQTT and REST APIs.
- Build cloud-connected smart systems using AWS IoT and ThingSpeak.
- Prepare for IoT Developer credential preparation Exams with hands-on projects.
Overview of IoT (Internet of Things) Certification Training Course
The IoT (Internet of Things) credential preparation Training Course is designed for engineers, developers, and learners who want to explore the world of connected devices and smart technology. It covers everything from embedded programming to cloud data integration and automation, providing you with the specialized technical expertise needed to advance your career in the field of smart connectivity.
Through real-world hands-on projects, learners design IoT systems such as smart homes, environmental monitors, and industrial automation models. By the end of the course, you'll be ready to earn your IoT Developer credential preparation and start a career in embedded systems, automation, or AI-integrated IoT applications.
1. Introduction to IoT
- History and evolution of IoT.
- Applications and industries.
- IoT architecture and M2M communication.
2. IoT Hardware Platforms
3. Sensors and Actuators
- Types of sensors (Temperature, Motion, Gas, etc.).
- Working with actuators (Relays, Motors).
4. Connectivity and Communication Protocols
- Bluetooth, Wi-Fi, Zigbee, LoRa.
5. Data Management and Cloud Integration
- Collecting and storing sensor data.
- Sending data to cloud platforms.
- Firebase, Thingspeak, AWS IoT.