Format
Real-time online intensive course with lifetime access to lesson recordings and content.
Building Secure Local Infrastructure with Home Assistant and Shelly
Prezzo di listino
59,50 €
Prezzo scontato
59,50 €
Prezzo di listino
Prezzo unitario
per
IVA inclusa
Spese di spedizione calcolate al check-out.
Nuovo
In magazzino
Costruire un’infrastruttura locale sicura con Home Assistant e Shelly è un corso avanzato e pratico, incentrato sulla progettazione architetturale di una piattaforma di automazione IoT sicura e “local-first”.
I partecipanti impareranno a creare e mettere in sicurezza un ambiente Home Assistant, estenderlo con componenti e plugin personalizzati, e collegare e gestire dispositivi su reti diverse. Il corso pone l’accento su automazioni coordinate, controllo vocale, reporting e strategie di integrazione pratiche in ambienti realistici, simili a quelli di produzione.
Tutte le sessioni sono pratiche e progettate per riflettere configurazioni reali.
Dopo la registrazione riceverai un codice sconto del 20% su dispositivi Shelly selezionati. (Codice valido fino al termine del corso.)
Accesso a vita alle registrazioni del corso.
Clicca qui per consultare Termini e Condizioni.
Questo corso verrà registrato. Se non rientra nel tuo fuso orario, puoi guardare la registrazione allegata.
Course details
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
Come iscriversi al corso?
Cosa imparerai:
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
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.
