Format
Real-time online intensive course with lifetime access to lesson recordings and content.
Building Secure Local Infrastructure with Home Assistant and Shelly
Regular price
€60,00 EUR
Sale price
€60,00 EUR
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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
Détails du cours
Période
9 - 12 March
Each lesson starts at 18:00 Central European Time (CET).
Certificat
Renowned certification is provided after a successful course completion.
Langue
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
Comment s'inscrire au cours ?
Pour qui est ce cours ?
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.
Installateurs/Intégrateurs
Architectes de solutions IoT
Passionnés de Domotique
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.
Dans ce cours
Configurer l'infrastructure locale sur site :
- Initial Home Assistant Configurations
- Installing and Preparing Core Services
- Configure Network for Local Device Communication
- Connecting Local Devices
Connectivité sécurisée et à distance des appareils :
- 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)
Intégrations personnalisées et automatisation pilotée par la voix :
- Using Voice Commands to Control Devices
- Managing Historic Device Data
- Building Custom components
Intégration de l'API Home Assistant avec une logique de notification personnalisée :
- 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
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.
