Headless sensor logger
Deliverable: A Pi set up with no monitor that reads a sensor, logs to a file with timestamps, and is reachable over SSH, demonstrated running for at least twenty-four hours.
Course
A small Linux computer used properly — Python, GPIO, camera and networking — building headless devices that start on their own and keep running unattended.
6 modules · 2 months
Deliverable: A Pi set up with no monitor that reads a sensor, logs to a file with timestamps, and is reachable over SSH, demonstrated running for at least twenty-four hours.
Deliverable: A camera capturing images on motion detection, storing them with timestamps and serving the latest on a local web page.
Deliverable: A program running as a systemd service that starts on boot, restarts automatically when killed, and survives a hard power cut without corrupting its data.
Deliverable: A written comparison of three supplied tasks, deciding for each whether a Pi or a microcontroller is the right choice, with power, cost and capability reasoning.
Every student gets placement assistance — that is what 100% placement assistance means. It is support for all, not a job for all. We do not promise a specific salary, a specific number of interviews, or placement at any named company, and you should be wary of anyone who does.
The interesting part of Raspberry Pi work is not getting a sensor to read. It is the thing still running a month later.
Starting at boot without anybody logging in. Restarting after a crash. Not corrupting the SD card when the power goes off mid-write — which in most of India is a weekly event rather than an edge case.
The last module and two of the projects exist entirely for this, because it is the difference between a demonstration and something you could actually deploy.
The sensor logger has to run overnight and produce a log you can inspect the next morning.
Almost every student finds something in that log they did not expect — a gap, a crash, a reading that drifts. Finding it on your own device in a classroom is a cheap lesson. Finding it after installing something at a client site is not.
Choosing wrong is the most common design mistake in this field, in both directions.
A Pi drawing half a watt is hopeless on a battery and takes thirty seconds to boot. A microcontroller cannot run a camera pipeline or a web server comfortably. The final project makes you argue three cases in writing, because the reasoning is the skill and the answer changes with the requirement.
You will spend real time at a command line — files, permissions, packages, services, SSH keys.
That knowledge outlasts the board entirely. A great deal of professional computing happens at a prompt, and students regularly report the Linux comfort being more useful afterwards than the hardware itself.
Questions
A Pi is a full Linux computer — use it when you need a filesystem, a camera, networking, or real processing. An Arduino or ESP32 is a microcontroller — use it when you need low power, instant boot, precise timing and battery life. The last project is exactly this decision, because choosing wrong is the most common design mistake.
No, the first module builds it from imaging a card upward. Comfort with a command line is the main thing you leave with, and it is transferable well beyond this course — a great deal of professional computing happens at a prompt.
Because it is a computer rather than a microcontroller, and the design assumed sensors would arrive over I2C or SPI. The GPIO module covers using an external ADC chip, which is the normal answer, and it is a good illustration of why the two device families are not interchangeable.
Starting automatically at boot, restarting after a crash, and not corrupting the SD card when the power is cut — which in India is not a hypothetical. That last module is why the sensor logger has to run for twenty-four hours, because a device that works while you watch it is not a device that works.
Three details is all we need. A course advisor will call you back.
The fastest way to make electronics actually do something — sensors, motors, displays and code — taught by building prototypes you design rather than diagrams you copy.
Connected hardware from sensor to dashboard — microcontrollers, wireless protocols, cloud ingestion and the power and reliability problems that decide whether a device survives deployment.
Python taught as a working tool rather than a syntax tour — you finish able to read unfamiliar code, automate real tasks, call APIs and write tests that catch your own mistakes.
Firmware written close to the metal — registers, interrupts, timers and buses — debugged on real hardware, because embedded bugs live where a simulator cannot show them.
Next step
Tell us what you want to learn and we will help you pick the right course, batch and mode.