Home / Internship / IoT / Compare
Compare Course Levels
Understand exactly what changes between the available levels before choosing your course.
| Feature | Beginner | Intermediate | Advanced |
|---|---|---|---|
| Course Level | Beginner | Intermediate | Advanced |
| Course Name | IoT for Beginner | IoT Internship Intermediate | Advanced IoT & Intelligent Automation |
| Fee | ₹3,499 | ₹4,999 | ₹7,999 |
| Duration | 5-Weeks | 1-2 month | 8-10 Weeks |
| Training Mode | Offline + Online | Offline + Online | Offline + Online |
| Prerequisites | 1. Basic computer operation, 2. Ability to use a computer keyboard and mouse, 3. Interest in electronics and technology, Important:, No prior programming experience required. | Students should have basic knowledge of electronics, Arduino/microcontrollers and simple sensor interfacing. Basic programming knowledge is expected., Recommended:, - Arduino basics, - Digital/analog I/O, - Sensor interfacing, - Basic C/C++ programming concepts | Students should already understand basic electronics, microcontrollers, sensors, ESP32/ESP8266, Wi-Fi communication and basic IoT concepts., Recommended knowledge:, - Basic C/C++ programming, - Arduino/ESP32, - Sensor interfacing, - HTTP/REST, - MQTT, - Basic JSON, - Basic Python is helpful for the AI/ML modules |
| Learning Scope | — | — | Advanced IoT → Data Analytics → AI/ML → Anomaly Detection → Edge AI → Intelligent Automation → Industrial IoT |
| Topics / Tools Covered | Arduino UNO, Arduino IDE, Breadboard, LEDs, Push Buttons, Resistors, Buzzer, LDR Sensor, IR Sensor, Temperature Sensor, Ultrasonic Sensor, Relay Module, ESP8266 / NodeMCU, USB Programming Cable, Basic Wi-Fi Network | ESP32, ESP8266 / NodeMCU, Arduino IDE, Sensors, Relay Modules, LEDs / Buzzers, Temperature & Humidity Sensors, LDR / IR / Ultrasonic Sensors, Wi-Fi, HTTP, REST API, MQTT, MQTT Broker, JSON, Web Dashboard, Basic Cloud / Server Communication, Serial Monitor, Git basics where appropriate | ESP32, ESP8266, Arduino IDE, Python, MQTT, REST API, JSON, SQL / basic data storage, IoT dashboards, Sensor data logging, Data analysis tools, Basic Machine Learning tools, Jupyter Notebook, NumPy, Pandas, Matplotlib, scikit-learn, Basic Edge AI / TinyML concepts, Git / version control, Serial debugging tools |
| Practical Level | — | — | Advanced |
| Hands-on Training | — | — | High |
| Practical Projects | Project 1 LED ON/OFF Circuit, Project 2 Push Button Controlled LED, Project 3 Automatic Light using LDR, Project 4 IR Sensor Detection, Project 5 Wi-Fi Smart Light | ESP32 Multi-Sensor Monitor, Wi-Fi Smart Relay Controller, MQTT Device Controller, IoT Sensor Dashboard, IoT Smart Automation & Monitoring System | ESP32 Intelligent Environment Monitor, IoT Anomaly Detection System, Predictive Maintenance Demo, AI-Based Smart Automation, AI-Powered IoT Monitoring System |
| Project Type | — | — | Product Project |
| Project Count | 5 | 5 | 5 |
| Kit Included | — | — | Included |
| Parts / Components Included | — | — | Included |
| Hardware Provided | — | — | ESP32, sensors, communication modules and project-specific hardware according to training setup |
| Software / Tools | — | — | Arduino IDE, Python, Jupyter Notebook, NumPy, Pandas, Matplotlib, scikit-learn, MQTT, REST API and dashboard tools |
| Industrial Orientation | — | — | Product Development |
| Certification | — | — | Yes |