Learn IoT

Learn what the Internet of Things is, its history, core architecture, and why it is transforming industries from healthcare to manufacturing.

Explore the hardware platforms, cloud services, communication protocols, and software tools that make up the modern IoT ecosystem.

Set up your IoT development environment with Thonny, Arduino IDE, PlatformIO, and online simulators for ESP32 and Raspberry Pi projects.

Compare Arduino, ESP32, and Raspberry Pi — understand their specs, strengths, and when to use each platform in your IoT projects.

Learn about the most common IoT sensors and actuators — temperature, humidity, motion, distance, gas — and how to interface them with microcontrollers.

Master digital I/O, analog reading, PWM, and serial protocols — I2C, SPI, and UART — for connecting sensors and peripherals to microcontrollers.

Learn how to power IoT devices with batteries and solar panels, use deep sleep modes, and calculate battery life to build long-running edge nodes.

Compare MQTT, HTTP, CoAP, WebSockets, and AMQP — understand when to use each protocol for sensor telemetry, commands, and real-time dashboards.

Compare WiFi, Bluetooth LE, Zigbee, Z-Wave, LoRa, NB-IoT, and 5G — understand the trade-offs of range, power, bandwidth, and cost for your IoT application.

Master MQTT from broker setup to advanced features — QoS, retained messages, Last Will and Testament, authentication, and building a complete pub/sub IoT pipeline.

Learn how to secure IoT devices with TLS encryption, certificate-based authentication, secure boot, and network segmentation — before your devices become attack vectors.

Learn MicroPython — the Python implementation for microcontrollers. Explore the REPL, core modules, file system, memory management, and the key differences from standard Python.

Learn the Arduino framework — setup/loop structure, digital and analog I/O, libraries, Serial communication, interrupts, and non-blocking patterns for reliable IoT firmware.

Learn how to read data from DHT22, BME280, ultrasonic, PIR, and ADC sensors in MicroPython and Arduino — including calibration, noise filtering, and moving averages.

Learn to control LEDs, servos, DC motors, relays, OLED displays, and buzzers from MicroPython and Arduino — the output side of IoT systems.

Understand real-time constraints in IoT — hardware timers, interrupts, FreeRTOS tasks, uasyncio coroutines, and watchdog timers for reliable, responsive IoT firmware.

Compare AWS IoT Core, Azure IoT Hub, ThingSpeak, and Adafruit IO — learn to connect devices, manage fleets, and build scalable cloud IoT backends.

Learn to collect, store, and query IoT sensor data using InfluxDB, SQLite, and CSV files — with time-series data modeling, retention policies, and Python data pipelines.

Build live IoT dashboards with Grafana, Node-RED, and Python Streamlit — connect to InfluxDB, visualize sensor streams, and create alerting panels.

Understand edge vs cloud computing, implement local processing on Raspberry Pi and ESP32, use AWS Greengrass and Azure IoT Edge, and run TensorFlow Lite models at the edge.

Analyze IoT sensor streams with statistical methods, detect anomalies using Z-score and IQR, build predictive maintenance models, and process data with Python and Pandas.

Build a complete smart home system with ESP32 sensors, relay-controlled appliances, MQTT messaging, a Python backend, and a web dashboard — with scheduling and voice integration.

Build a multi-sensor weather station with DHT22, BME280, and MQ-135, log data to ThingSpeak and InfluxDB, send SMS alerts, and display real-time readings on a Grafana dashboard.

Build a GPS asset tracker with ESP32 and NEO-6M, parse NMEA sentences, implement geofencing with the Haversine formula, and visualize live location on a map dashboard.

Explore Industrial IoT — Modbus protocol, OPC-UA, SCADA systems, predictive maintenance, and connecting legacy industrial equipment to modern cloud platforms.

Deep dive into IoT security — OWASP IoT Top 10, firmware hardening, certificate lifecycle management, network segmentation, and building a security program for IoT deployments.

Implement over-the-air firmware updates for ESP32 and Raspberry Pi — version management, signed updates, rollback mechanisms, and staged fleet rollouts.

Scale your IoT system from prototype to production — device provisioning, fleet management, monitoring, cost optimization, and operating thousands of devices reliably.

Explore the emerging trends shaping IoT's future — TinyML and Edge AI, 5G massive IoT, Matter protocol, Digital Twins, sustainable IoT, and where the industry is heading.