Building Secure Local Infrastructure with Home Assistant and Shelly
€60,00 EUR
€60,00 EUR
Incl. VAT
New
In stock

Building Secure Local Infrastructure with Home Assistant and Shelly

€60,00 EUR
€60,00 EUR
Incl. VAT
In stock

Building Secure Local Infrastructure with Home Assistant and Shelly is an advanced, hands-on course focused on the architectural design of a secure, local-first IoT automation platform.

Participants will learn to build and secure a Home Assistant environment, extend it with custom components and plugins, and connect and manage devices across networks. The course emphasizes coordinated automation, voice-driven control, reporting, and practical integration strategies in realistic, production-like environments.
All sessions are hands-on and designed to reflect real-world setups.

You will receive a 20% Discount Code for selected Shelly devices after a registration. (Code available until the end of the course.)
With lifetime access to course recordings.

Click here to view the Terms and Conditions.

This course will be recorded. If it falls outside of your time zone, you can watch the attached recording
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Course details

Format

Real-time online intensive course with lifetime access to lesson recordings and content.

Period

9 - 12 March
Each lesson starts at 18:00 Central European Time (CET).

Certificate

Renowned certification is provided after a successful course completion.

Language

English

What You'll Learn

  • Design and secure a local on-premises automation infrastructure
  • Configure encrypted communication channels for IoT messaging
  • Connect and manage devices across different networks using a centralized hub
  • Integrate sensors and dashboards into a unified local system
  • Build automations using local voice assistant pipelines
  • Expose automation logic through APIs, notifications, and reports
  • Package and distribute custom integrations for reuse and community sharing

 How to enroll in the course?

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test-shelly EU
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test-shelly EU
test-shelly EU
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test-shelly EU

Who is this course for? 

This advanced course is for installers, professionals, and smart home enthusiasts who want to build secure, privacy-aware automation systems on the Home Assistant platform. It is ideal for those looking to offer complete client solutions, as well as DIYers aiming for reliable, long-term, and extensible smart home setups.

Installers/Integrators

IoT Solution Architects

Home Automation Enthusiasts

Do I have to buy a Shelly device to attend the course?

No, purchasing Shelly devices is not required to enroll in the course. However, they can enhance your learning experience by allowing you to apply your new skills in real-time and customize device behavior to fit your needs.

Recommended devices: Shelly Gen3 and/or Shelly Gen4, Shelly BLU device/s, Raspberry PI.

While these devices will be featured in the training, purchasing them is entirely optional. You have the flexibility to decide whether to invest in them based on your interests and project requirements.

In this course

Configuring the Local On-Premises Infrastructure:
  • Initial Home Assistant Configurations
  • Installing and Preparing Core Services
  • Configure Network for Local Device Communication
  • Connecting Local Devices
Secure and Remote Device Connectivity:
  • Secure Device Communication Using Encrypted Messaging Protocols
  • Certificate-based Authentication and Trust Management
  • Visualizing and Monitoring Device Data in Home Assistant
  • Implement Local Voice Assistance Pipeline (speech-to-text and text-to-speech)
Custom Integrations and Voice-Driven Automation:
  • Using Voice Commands to Control Devices
  • Managing Historic Device Data
  • Building Custom components
Home Assistant API Integration with Custom Notification Logic:
  • Home Assistant REST API
  • Sending Automated Push Notifications
  • Emails Report via Custom Logic
  • Integrating Wall-Mounted Displays with Access Control

Meet Your Trainers

Simeon Monov

Simeon Monov

Assistant Professor & Senior Software Developer

Simeon Monov is an assistant professor at Plovdiv University 'Paisii Hilendarski' and senior software developer and technical lead. Simeon holds a PhD in Computer Science and has a solid background in algorithms and information systems. Simeon teaches machine learning, data analytics, algorithms and data structures and object-oriented programming at Plovdiv University and has over twenty years of experience in software development and design. He worked for 13 years at the IBM Silicon Valley Lab.