Complete for freeIntermediateBrowser simulator included

Course 17

Hardware Lab: Raspberry Pi and Internet of Things

Design a secure IoT system with simulated or physical GPIO, sensors, Python control, time-series data, MQTT, dashboards, remote actions, authentication, and credential safety. The course combines structured lessons, guided browser concept simulations, and learner-created project files made with freely installable or open tools described in the course instructions. This guided page does not execute code, train models, run databases, create repositories, access hardware, or provide hosted infrastructure.

Free completion promise: The always-free pathway combines GPIO, sensor, and messaging concept simulations with learner-created Python, dashboard, and architecture files. The C4T page does not run Linux, GPIO, or MQTT; hardware and cloud accounts are optional.

Before you begin

Requirements & setup for Hardware Lab: Raspberry Pi and Internet of Things

Start with the complete free pathway below. Hardware, subscriptions, paid APIs, and cloud credits are never required.

Start here · free path

Your complete $0 setup

The always-free pathway combines GPIO, sensor, and messaging concept simulations with learner-created Python, dashboard, and architecture files. The C4T page does not run Linux, GPIO, or MQTT; hardware and cloud accounts are optional.

$0 required

Setup checklist

0 of 9 complete

This checklist is a temporary setup aid and resets when the page reloads. Saved course progress begins in the setup lessons below.

1. Choose the free learning path
Use the browser-based tools and simulations throughout this course. Paid software, APIs, cloud credits, GPUs, and physical equipment are optional.
About 2 min
2. Set up C4T Pi and IoT Concept Concept Simulator
Open the concept simulator and read its scenario, assumptions, and limitations.
About 5 minOpen C4T Pi and IoT Concept Concept Simulator (opens in a new tab)
3. C4T Pi and IoT Concept Concept Simulator: step 2
Make a prediction, adjust the available controls, and compare the result with the explanation.
About 5 min
4. C4T Pi and IoT Concept Concept Simulator: step 3
Record what changed and why; repeat with at least one different input.
About 5 min
5. C4T Pi and IoT Concept Concept Simulator: step 4
For applied work, follow the course instructions to create and keep your own project files with a freely installable or open tool appropriate to the subject.
About 5 min
6. Set up Pi and IoT Concept Concept Simulator
Open C4T Pi and IoT Concept Concept Simulator.
About 5 minOpen Pi and IoT Concept Concept Simulator (opens in a new tab)
7. Raspberry Pi and electronics: step 2
Select the simulated raspberry pi and electronics pathway.
About 5 min
8. Raspberry Pi and electronics: step 3
Complete this check: Pass the GPIO and network-safety checklist before optional physical deployment.
About 5 min
9. Run the setup check
C4T Pi and IoT Concept Concept Simulator: Complete one prediction-and-explanation cycle and record the evidence you would carry into a learner-created project file. Raspberry Pi and electronics: Pass the GPIO and network-safety checklist before optional physical deployment.
About 5 min

Software

1 item

C4T Pi and IoT Concept Concept Simulator

Course need

C4T Pi and IoT Concept Concept Simulator

Free

A free browser concept simulator with adjustable values, a prediction prompt, deterministic feedback, and a short explanatory trace. This guided page does not execute code, train models, run databases, create repositories, access hardware, or provide hosted infrastructure. Use keyboard controls and the text trace or written alternative when a visual or pointer interaction is not suitable.

Open the concept simulator and read its scenario, assumptions, and limitations.
Make a prediction, adjust the available controls, and compare the result with the explanation.
Record what changed and why; repeat with at least one different input.
For applied work, follow the course instructions to create and keep your own project files with a freely installable or open tool appropriate to the subject.

Open C4T Pi and IoT Concept Concept Simulator

Hardware

1 item

Raspberry Pi and electronics

Optional Pi, safe low-voltage sensors, and outputs for physical transfer work.

Optional

Pi and IoT Concept Concept Simulator

Free

Explore course concepts through adjustable values, prediction, deterministic feedback, and an explanatory trace. The physical equipment is optional. The simulator, supplied traces, and written tables cover the assessed concepts without handling physical parts.

Open C4T Pi and IoT Concept Concept Simulator.
Select the simulated raspberry pi and electronics pathway.
Complete this check: Pass the GPIO and network-safety checklist before optional physical deployment.

Open Pi and IoT Concept Concept Simulator

No-hardware path

Pi and IoT Concept Concept Simulator

Explore course concepts through adjustable values, prediction, deterministic feedback, and an explanatory trace. No hardware is required.

Optional paid alternatives

You do not need these options to complete the course.

Raspberry Pi starter setup

Optional physical extension; learners without hardware use guided concept simulations and create equivalent architecture, code, and test files.

Optional only—never required for course completion.

Accounts

Nothing required

No external account is needed for this course.

What you will be able to do

Learning outcomes

Navigate a safe Linux workspace and map Raspberry Pi GPIO.
Read simulated sensors and control outputs with Python.
Publish time-series data through local MQTT and a dashboard.
Protect device control with authentication, credential handling, and failure states.

Included downloads

Free starter assets

Original · synthetic · licensed

These small files contain no personal data, credentials, or secrets. Dataset fixtures are CC0 and starter code is MIT licensed.

Starter pack guide & licensesSee what each original synthetic dataset, fixture, and starter file contains.SQLite practice databaseOriginal schema, synthetic seed rows, constraints, and review queries.Simulated hardware sensor traceSynthetic device readings for no-hardware analysis and replay.ML evaluation fixtureFixed, synthetic classification, retrieval, research, and deployment values.

Build real work

Assignments & capstone

Free tools accepted

Local sensor and MQTT pipeline

Read simulated sensor data, buffer and publish it locally, then visualize fresh and stale states.

Secure remote control review

Implement or diagram device authentication, protected control, credential storage, and an audit trail.

Final assessment

Secure IoT monitoring system

Build a virtual or physical smart greenhouse, weather station, or environmental monitor with sensors, collection, networking, dashboard, device authentication, protected credentials, failure states, and documentation. Deliverables: Sensor and output implementation, Time-series collection and local messaging, Accessible monitoring dashboard, Authentication and credential plan, and Failure tests and system documentation.

Prerequisites & pacing

Skills assumed

Python fundamentals and hardware input/output concepts

Recommended prior courses

These are advisory, not locks. If you already have the skills listed above, enroll directly.

Choose your pace

self paced: 10 weeks at 5 hours per week
weekly: 10 weeks at 5 hours per week

Part of this learning path

🤖 Hardware and Robotics · step 3 of 4
Go from first LED to a connected, sensing, machine-learning device — every step has a browser simulator.

Course created by Zafir Shamsi.