Course

Using Shelly Devices With Amazon AWS - September 2025

Start date: 22 September 2025

1 weeks

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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.

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The “Using Shelly Devices With Amazon AWS - September 2025” is a hands-on, advanced-level course developed by Shelly Academy in collaboration with SoftUni Global. This training focuses on integrating Shelly devices with AWS to enable scalable, cloud-based automation, monitoring, and analytics.

Over the course of four live sessions, you will explore how to connect Shelly devices securely to AWS using MQTT, learn how to create event-driven automations using AWS Lambda and IoT Rules Engine. You'll also learn how to manage and store their data using Timestream, organize devices into structured environments with SiteWise and build dashboards with Managed Grafana.

Whether you're deploying Shelly in a smart building, industrial setting, or smart home, this course will give you the tools to manage data flows, detect anomalies, and visualize everything in real time.

Lectures will take place live from Monday to Thursday, and all recordings will be available for lifetime access.

Get ready to bring your Shelly automations to the cloud — and beyond.

Skills which you will acquire

Get familiar with securely connecting MQTT-based Shelly devices to AWS IoT Core.
Learn how to store and access real-time device data using key AWS services.
Use AWS Lambda to automate actions and handle missing data when needed.
Build useful dashboards with Amazon Managed Grafana and explore data using SiteWise.
Work with historical metrics and set up alerts to support predictive maintenance.
Set up cloud-based data flows for managing and processing Shelly device data.

Topics

Resources
Resources

No description yet
Resources
- Facebook Group of the Course
- Sli.do link
Introduction to AWS IoT and MQTT Communication
Introduction to AWS IoT and MQTT Communication

• Overview of AWS IoT Core and its role in IoT ecosystems
• Connecting Shelly devices to AWS IoT using MQTT
• Using device certificates for secure communication
• Executing Remote Procedure Calls (RPC) over MQTT
• Doing hands-on exercises to practice new knowledge

Date: September 22, Monday,
entirely online at 6:00 PM CEST

Resources

There are no resources for this lecture yet
Cloud Automation with AWS IoT Rules Engine and Lambda
Cloud Automation with AWS IoT Rules Engine and Lambda

• Routing device data with the AWS IoT Rules Engine
• Creating event-driven logic using AWS Lambda
• Doing hands-on exercises to practice new knowledge

Date: September 23, Tuesday,
entirely online at 6:00 PM CEST

Resources

There are no resources for this lecture yet
Working with Device Data in the AWS Cloud
Working with Device Data in the AWS Cloud

• Logging and analyzing time-based metrics with Amazon Timestream
• Organizing structured device data with Amazon SiteWise
• Building real-time dashboards with Amazon Managed Grafana
• Doing hands-on exercises to practice new knowledge

Date: September 24, Wednesday,
entirely online at 6:00 PM CEST

Resources

There are no resources for this lecture yet
Predictive Maintenance with AWS Services
Predictive Maintenance with AWS Services

• Using Amazon SiteWise to model assets and compute maintenance metrics
• Exploring historical patterns and anomalies using Amazon Q
• Solution for detecting abnormal device behavior using historical data
• Doing hands-on exercises to practice new knowledge

Date: September 25, Thursday,
entirely online at 6:00 PM CEST

Resources

There are no resources for this lecture yet

Who is this course for?

This course is for people with experience in Shelly scripting who want to expand into cloud-based IoT. You’ll learn how to move from local automation to scalable AWS-powered systems using real-time data, cloud storage, and dashboards. Whether you're a smart home enthusiast or an IoT professional, this course will help you connect, manage, and automate Shelly devices in the cloud.

How to enroll in the course?

To sign up for the course follow these simple steps:

1. Visit the Using Shelly Devices with Amazon AWS - September 2025 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 Using Shelly Devices with Amazon AWS course.

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

Enrollment in the course is open until 25 September. The training starts on 22 September 2025. 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 Summer Time (CEST) 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 CEST is:
Sofia, Bulgaria (EEST) - 7:00 PM
Berlin, Germany (CEST) - 6:00 PM
Rome, Italy (CEST) - 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

Other: Using AWS services may incur costs depending on service and usages. We will inform you of estimates during the course of. Also:

• Stable internet connection
• An AWS account
• Password of the network you will be using to connect the Shelly device

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.