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 Plovdiv or at NobleProg's corporate training centers in Plovdiv.
NobleProg -- Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This instructor-led, live training in Plovdiv (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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