Format
Pre-recorded
Using Shelly Devices with Amazon AWS
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47,60 €
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"Using Shelly Devices With Amazon AWS” is a self-paced, hands-on course developed by Shelly Academy in collaboration with SoftUni Global. This advanced-level training focuses on integrating Shelly devices with AWS to enable scalable, cloud-based automation, monitoring, and analytics.
Over the course of four pre-recorded 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.
Get ready to bring your Shelly automations to the cloud, and beyond.
Click here to view the Terms and Conditions.
FAQ
What are the differences between the different generations of Shelly products?
Is it possible to use the device without a hub?
Course details
Period
Self-paced course
Language
English
Skills You Will Gain
- 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.
How to enroll in the course?
Who is this course for?
IoT Solution
IT Developers
Developers
In this course
We've partnered with SoftUni, a global leading software academy, to ensure that you receive top-notch education and guidance from industry professionals.
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
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
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"
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
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.
