Course

Building Secure Local Infrastructure with Home Assistant and Shelly - 2026

IMPORTANT: Secure a spot in the course by completing payment exclusively on the Shelly product page. Purchase a voucher there to receive an e-mail with your unique code and detailed instructions for accessing the course.THE PRICES ON THE SHELLY ACADEMY WEBSITE DO NOT INCLUDE VAT.

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“Building Secure Local Infrastructure with Home Assistant and Shelly-2026” is an advanced, hands-on course focused on designing, securing, and extending a local-first IoT automation platform. The course is built around real-world scenarios where reliability, privacy, and operational control are essential.

Participants will learn how to set up and strengthen a local automation environment, securely connect distributed IoT devices across different networks, and manage communication using industry-standard protocols and encryption practices. Special attention is given to secure messaging, authentication, and access control, ensuring that the infrastructure remains robust even in complex or remote deployments.

The course goes beyond standard Home Assistant usage by exploring how and why to extend the platform with custom components and plugins. Learners will design integrations that solve higher-level problems such as coordinating device behavior, generating meaningful reports, enabling voice-driven control, and implementing custom automation logic, rather than simply controlling individual devices.

Throughout the course, the focus remains on architectural thinking, security principles, and practical design decisions, helping participants understand not only how to build such systems, but also how to adapt them to different environments and requirements.

All sessions are practical, scenario-driven, and designed to reflect real production-like setups.

Skills which you will acquire

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

Topics

Resources
Resources

No description yet
Resources
Configuring the Local On-Premises Infrastructure
Configuring the Local On-Premises Infrastructure

• Initial Home Assistant Configurations
• Installing and Preparing Core Services
• Configure Network for Local Device Communication
• Connecting Local Devices

Date: March 09, Monday,
entirely online at 6:00 PM CET
Resources
Secure and Remote Device Connectivity
Secure and Remote Device Connectivity

• Configuring the Network for WAN Connectivity
• Configuring mTLS Certificates
• Secure Device Communication
• Local Voice Assistance Pipeline

Date: March 10, Tuesday,
entirely online at 6:00 PM CET
Resources
- Shelly Intensive BSLI with HA and Shelly - Secure and Remote Device Connectivity [#Session 02]
- Secure and Remote Device Connectivity - Presentation
Custom Integrations and Voice-Driven Automation
Custom Integrations and Voice-Driven Automation

• Intelligent Voice Assistants with LLM
• Managing Historic Device Data
• Builing Custom components

Date: March 11, Wednesday,
entirely online at 6:00 PM CET
Resources
Home Assistant API Integration with Custom Notification Logic
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 Controll

Date: March 12, Thursday,
entirely online at 6:00 PM CET
Resources

Who is this course for?

This course is intended for developers and automation engineers with prior experience in Home Assistant, Shelly devices, or IoT scripting who want to build secure and well-structured local automation systems. It is also suitable for smart home enthusiasts and professionals interested in local-first IoT, privacy-aware automation, and extending Home Assistant with custom functionality beyond basic, out-of-the-box automations. The course is ideal for anyone who wants to design maintainable and extensible Home Assistant solutions, with a focus on clear architecture, security, and long-term usability rather than quick, ad-hoc setups.

How to enroll in the course?

To sign up for the course follow these simple steps:

1. Visit the Building Secure Local Infrastructure with Home Assistant and Shelly - 2026 product page and purchase a course voucher.
2. Complete the payment process.
3. After the successful payment, you will be redirected to the current website.
4. Make a registration.
5. Use the course registration code from Shelly's e-mail to enroll in the Building Secure Local Infrastructure with Home Assistant - 2026 course.

What is the deadline for enrolling in the course and when does it start?

Enrollment in the course is open until 12 March. The training starts on 09 March 2026. You can find a detailed schedule of classes in the Topics section.

How and where are the classes held?

The classes are online in real time every day from Tuesday to Friday. Each lesson starts at 6:00 PM Central European Time (CET) and lasts 2.5 to 3 hours.

To determine the start date and time of the lessons, please convert the date and time to your local time zone.

For example 6:00 PM CET is:
Sofia, Bulgaria (EET) - 7:00 PM
Berlin, Germany (CET) - 6:00 PM
Rome, Italy (CET) - 6:00 PM
Washington, D.C., USA (EDT) - 12:00 PM

After each lesson, you get access to the lesson recording and learning resources.

Do I receive a certificate after the course?

At the end of the course, you receive an official certificate from SoftUni Global and Shelly Academy.

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

No, you do NOT have to purchase a device to sign up for the course. However, for a better course experience we recommend at least Shelly Gen3 or/and Shelly Gen4 and Shelly BLU device/s.

Are there any additional requirements?

Hardware:

• Machine with parameters similar to these:
SSD >= 120GB
8GB RAM
Processor i3, i5, i7 (at least 5th generation)
A mid-range GPU

Software:

• Browser: We recommend using the latest LTS version of Google Chrome

• Stable internet connection

How much is the course fee and what does it include?

Online

50 EUR

Online training in real-time

Lifetime access to lesson recordings and learning content

Help from a mentor in understanding the learning materials

Access to a closed Facebook group with all other course participants

Receiving a certificate

SoftUni gives you a 100% guarantee of the quality of this course. The most important thing for us is that you acquire the necessary skills and knowledge. If you change your mind, a refund within 14 days of purchasing the course voucher is available, given that the voucher has not been used. For additional information, visit the terms and conditions and refund policy of Shelly Group. You can read the Terms and Conditions related to this specific course HERE.

About Shelly

Shelly is one of the fastest growing IoT brands in the world with devices providing solutions for home and building smart automation. Inspired by our consumers’ dream to live calmly and happily, we create our devices with attention to the smallest details. This is possible thanks to a team of young and talented developers devoted to producing easy to set up and use yet competitive and innovative products. The company has two headquarters – one in Europe and one in the United States. The European office is located in Bulgaria’s capital city – Sofia. The United States office opened its doors at the end of 2019 and is located in Las Vegas, Nevada. Shelly devices are available in over 100 markets. https://www.shelly.com/en

Simeon Monov

Trainer

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.