AWS IoT Training in Radom

The training "Creating IoT Solutions Using Amazon Web Services" focuses on presenting AWS services in the context of creating IoT solutions. Participants will gain skills in using the management console, the AWS CLI tool, and understanding AWS architecture. The course covers an overview of the AWS IoT Core service, defining devices, generating certificates, and establishing secure communication. Additionally, participants will learn how to integrate IoT Core with various AWS services, including SNS, SQS, DynamoDB, S3, API Gateway, AWS Lambda, as well as how to integrate IoT with artificial intelligence services such as Rekognition and Textract.

This instructor-led, live training in Radom (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Radom (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

Summary:

• Basics of IoT architecture and functions
• “Things”, “Sensors”, Internet and the mapping between business functions of IoT
• Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
• IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
• Basics of IoT device communication with cloud with MQTT.
• Connecting IoT devices to AWS with MQTT (AWS IoT Core).
• Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
• Connecting Raspberry PI with AWS IoT core and simple data communication.
• Hands on with Raspberry PI and AWS IoT Core to build a smart device.
• Sensor data visualization and communication with web interface.