Whether delivered online or onsite, instructor-led AWS IoT training courses provide interactive, hands-on practice to demonstrate the solutions and services offered by AWS IoT.
AWS IoT training is available as either "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted through an interactive remote desktop environment. Onsite live training can be held locally at the customer's premises in Sofia or at NobleProg's corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
This instructor-led, live training in Sofia (onsite or remote) is designed for engineers who want to deploy and manage IoT devices on AWS.
Upon completion of this training, participants will be equipped to construct an IoT platform encompassing the deployment and management of a backend, gateway, and devices on the AWS infrastructure.
Gaining a clear understanding of IoT architecture and its essential functions.
Exploring the concepts of connected "Things" and sensors, understanding how the Internet of Things operates, and aligning business needs with appropriate IoT solutions.
Receiving a comprehensive breakdown of IoT software layers, including hardware, firmware, middleware, cloud infrastructure, and mobile interfaces.
Examining critical IoT capabilities such as fleet management, data visualization, SaaS-based facility and data visualization, alert mechanisms, device onboarding, and geo-fencing.
Mastering the fundamentals of device-to-cloud communication using the MQTT protocol.
Learning how to connect IoT devices to AWS via MQTT, utilizing AWS IoT Core.
Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for efficient data storage.
Establishing connectivity between a Raspberry Pi and AWS IoT Core to enable seamless data exchange.
Participating in a practical lab session: constructing a smart device using a Raspberry Pi paired with AWS IoT Core.
Visualizing sensor data and managing communication through a web interface.
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