
Learn to build a scalable smart home with Home Assistant, ESP32 devices, Tasmota and ESPHome, set up automations for motion, temperature, and voice control, secure remote access, and mobile dashboards.
Discover how a smart home uses a Raspberry Pi and Home Assistant to automate lighting, climate control, and security from a centralized interface, with open source flexibility and energy savings.
Explore how Home Assistant on a Raspberry Pi or a virtual machine centralizes smart home automation using Z-Wave and Zigbee, with Alexa voice control and Sonos output.
Home Assistant serves as the central brain of your smart home, running locally, enabling custom automations with triggers, conditions, and actions while ensuring privacy and energy monitoring.
Explore use cases and industry trends in Home Assistant automation, from lights and coffee to weather updates, security automation, vacation modes, and community-driven customization.
Install home assistant on VirtualBox by downloading the VirtualBox image, installing VirtualBox, creating a two-cpu, two-gb ram VM, bridging ethernet, then access ip:8123 to create account and set location.
Detect the Home Assistant IP on your network using Angry IP Scanner and a wireless card, then open a browser to 192.168.0.117 and log in with your credentials.
Explore how Home Assistant add-ons extend home automation, with official and community options, installation via the add-on store, and integrate apps like Node-RED, Grafana, and InfluxDB to expand capabilities.
Explore the ESP32 microcontroller’s dual-core design, ultra-low power, wifi and bluetooth capabilities, and a rich set of peripherals including adc, dac, spi, i2c, i2s, and capacitive touch across development platforms.
Configure an ESP32 with tasmota, wire an LED to GPIO 14 and a DHT11 to GPIO 4, then monitor temperature and humidity via the web interface and toggle the LED.
Install and configure the MQTT broker (Mosquitto) in Home Assistant to enable ESP32 communication, then install Mosquitto, review configuration docs, enable watchdog, and start the broker.
Learn to connect an Esp32 with tasmota to Home Assistant using an mqtt broker, configuring IP, port 1883, and credentials to link the device, read sensors, and control the LED.
Design and customize a Home Assistant dashboard from scratch for a smartphone, organizing sections for lighting and sensors, and adding cards to control lights and display temperature and humidity readings.
Explore ESP8266 microcontroller, a wifi-enabled predecessor to the ESP32. It can run its own program for home automation and IoT, with VIN 5–12 V, 3.3 V power, GPIO, and ADC.
Learn how a relay uses an electromagnet to switch high-power circuits from a microcontroller signal, featuring normally open, normally closed, and common contacts, with electromechanical, solid-state, or reed relay types.
connect a relay to a microcontroller using gpio4, with proper vcc and gnd; wire the normally open and common contacts to the AC load and line/neutral accordingly.
Flash ESPHome firmware to ESP8266 via USB serial, configure wifi in the secret file, and add the device to Home Assistant for live control.
Enable over-the-air firmware updates for esp home devices by first USB connection, then update via wifi using mdns; configure yaml or use the menu to install ota.
Explore connecting an ESP home device to mqtt by editing the yaml to configure the mqtt broker, including ip address, port, username, and password, enabling cross gateway support with Mosquitto.
Configure a GPIO pin as a digital input to create a binary sensor in ESPHome for the ESP8266 using a 3.3V signal in YAML.
Enable inverted button detection in ESPHome by adding an invert function to the gpio pin and updating firmware wirelessly on the ESP8266.
Debounce gpio input to prevent button bounce and ensure on when pressed and off when released, using a 20 ms delay filter in ESP Home.
This hands-on course empowers learners to design and deploy intelligent home automation systems using Home Assistant, an open-source platform that integrates seamlessly with ESP32 microcontrollers, Smart Switch, sensors and actuators. Participants will explore the fundamentals of smart home architecture, IoT protocols, and device communication, then dive into practical implementation using Tasmota and ESPHome firmware.
Through guided modules, students will learn to flash and configure ESP32 boards, connect sensors and actuators, and build responsive automations using MQTT and native APIs. The course emphasizes real-world applications—such as motion-triggered lighting, temperature-based fan control, and voice-activated scenes—while reinforcing best practices in security, remote access, and system reliability.
Learners will also gain experience customizing dashboards, integrating voice assistants like Google Assistant or Alexa, and managing smart devices through intuitive interfaces. By the end of the course, participants will complete a capstone project showcasing a fully functional smart home solution tailored to their environment.
Ideal for technical students, educators, and professionals in electronics or automation, this course bridges theory and practice to unlock the full potential of modern home automation. No prior experience with Home Assistant is required, but basic knowledge of electronics and networking is recommended.
Primary Learning Outcomes
Smart Home Fundamentals
Understand the architecture of smart home systems
Learn key IoT protocols (MQTT, Wi-Fi, API integrations)
Explore centralized vs decentralized automation models
Home Assistant Setup & Configuration
Install and configure Home Assistant on Raspberry Pi or virtual machine
Navigate the UI, manage entities, and use YAML for automation
Set up add-ons like MQTT broker and ESPHome dashboard
ESP32 Device Integration
Flash ESP32 boards with Tasmota and ESPHome
Connect sensors (e.g., DHT22, PIR) and actuators (e.g., relays)
Integrate devices with Home Assistant via MQTT or native API
Automation & Control Logic
Build automations using triggers, conditions, and actions
Use templates and scripts for advanced logic
Create scenes and schedules for smart behavior
User Interface & Voice Control
Customize Lovelace dashboards for mobile and desktop
Security & Remote Access
Secure Home Assistant with HTTPS and user roles
Enable remote access using DuckDNS or Nabu Casa