IoT Training in Amritsar
IoT Smart Connected Systems & Edge AI — our IoT course in Amritsar, 14 Weeks. Design and deploy intelligent connected devices. Master microcontroller programming, wireless protocols, cloud IoT platforms, and edge AI inference for real-world automation and monitoring systems.
Course Overview
IoT is where the physical world meets the digital. Sensors collect data, microcontrollers process it, wireless protocols transmit it, and cloud platforms store and visualize it. We start with the hardware: ESP32, Arduino, and Raspberry Pi. GPIO, timers, interrupts, PWM, and sensor interfacing through I2C, SPI, and UART. You will build a working sensor station in week 3.
Wireless communication is the backbone of IoT. Wi-Fi, Bluetooth Low Energy, LoRa, and cellular. Each has its range, power, and bandwidth tradeoffs. You will learn MQTT pub/sub patterns, mesh networking, and protocol selection. By week 7, you will have a multi-node sensor network reporting to a central gateway.
Cloud platforms connect your devices to the world. AWS IoT Core, Azure IoT Hub, and GCP IoT. Time-series databases like InfluxDB, Grafana dashboards, and OTA firmware updates. You will learn device provisioning at scale, TLS/SSL on constrained devices, and fleet management. Real production IoT, not just blinking LEDs.
The final stretch is edge AI and production. TensorFlow Lite Micro for on-device inference, TinyML for audio and vision recognition on ESP32. Home automation with Home Assistant and Node-RED. Industrial IoT with OPC-UA and Modbus. The capstone is a complete smart monitoring system with edge ML, cloud dashboard, mobile alerts, and OTA updates. Fourteen weeks, and you can architect IoT systems end-to-end.
Curriculum Blueprint
Weekly module breakdown covering embedded systems, wireless protocols, cloud IoT, and edge AI deployment.
- Microcontroller architecture: GPIO, timers, interrupts, PWM, and ADC/DAC peripheral configuration
- Arduino & ESP32 programming: PlatformIO setup, Arduino framework, and first blinking LED to sensor readings
- Sensor interfacing: I2C, SPI, UART protocols, sensor calibration, and noise filtering algorithms
- FreeRTOS on ESP32: tasks, semaphores, queues, dual-core utilization, and task prioritization
- Actuator control: servo motors, stepper drivers, relay modules, and H-bridge motor control
- Power management: sleep modes, deep sleep, battery optimization, and solar power considerations
- Raspberry Pi as IoT gateway: Python GPIO, serial communication with Arduino/ESP32, and edge processing
- Data logging and storage: SD card logging, SPIFFS/LittleFS, and local buffering for unreliable networks
- First project: build a temperature and humidity monitoring station with sensor, display, and data logging
Tools Covered
Prerequisites
- Fundamental understanding of basic electronics (voltage, current, resistors)
- Basic exposure to C/C++ or Python programming
- Hardware capable of purchasing basic IoT kits (Arduino/ESP32/Raspberry Pi)
- Absolute commitment to master core underlying software engineering over syntax rules
Free Code Examples
Practise alongside the course with our open, beginner-friendly repository on GitHub.
View Free Code Examples on GitHubLab Access
- Cloud sandbox environment
- Real production server access
- Local AI model playground
- 24/7 Git repository access
Quick Inquiry
Interested? Drop your details and we will reach out.
Common Questions
The things people ask us on the phone before they enrol — answered the same way we would answer them there.
There is no separate price for it. WebPrims charges one fee — ₹4,500 / month — and it covers any course in the catalogue, so the IoT course works out at about 4 months — around ₹18,000 in total. No admission fee, no registration fee, and the certificate is included.
Monday to Saturday, with batches starting at 11:00 AM, 1:00 PM, 3:00 PM and 5:00 PM. Each slot runs up to two hours — sometimes a session finishes early, never late. That works out at roughly 168 hours of class time across the 14 Weeks. Pick whichever time fits around college or work, and move to another later if your timetable changes; it is the same IoT syllabus in each. We are closed on Sunday.
14 Weeks of taught material, which is about 4 months of IoT classes. That is the pace of the syllabus; how long you actually take depends on how often you turn up, and nobody is pushed to keep up with the batch.
Some programming basics. If you have none, one or two months of Python first — and because the fee covers the catalogue, that is not an extra course to pay for.
Hardware that works: microcontrollers reading real sensors, talking over real wireless protocols, reporting to a cloud dashboard, with edge AI running on the device itself.
No. The lab has boards, sensors and the tools. Most students end up buying a board of their own halfway through because they want to keep a project running at home, but nothing about the course requires it.
Yes. Book a free demo class and sit in a real IoT session — one that was running anyway, not a presentation arranged for you. Write some code on one of our machines, ask the students already in it what it is like, and decide afterwards. Nothing to pay and no obligation.
Something here not answered? Ask us directly or book a free demo class and put it to the IoT mentor in person.