Comidoc Analysis
Device to AWS Cloud integration: Programming Embedded Devices and managing data in AWS IoT
Exploring AWS IoT
InstructorStephen BorsayDuration7h 44m
Students22.8K
Rating4.6 (3,710)
InstructorStephen BorsayDevice to AWS Cloud integration: Programming Embedded Devices and managing data in AWS IoT
InstructorStephen BorsayEditorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This diagram illustrates the AWS IoT architecture, tracing data from an embedded device through secure communication to the cloud gateway and subsequent rule-based integrations.
This slide displays the Zerynth platform branding alongside logos for Python, JavaScript, and Mongoose OS, along with an image of an ESP32 development board.
This schematic illustrates how multiple IoT devices communicate with the AWS IoT Service Pub/Sub Broker using MQTT topics.
Instruction covers multiple platforms including ESP8266, ESP32, and Raspberry Pi using various environments like Mongoose OS, MicroPython, and the AWS IoT Device SDK.
The path moves from connectivity to data management using SNS, S3, DynamoDB, and Kinesis, including visualization via QuickSight and Timestream/Grafana.
One sampled review suggests that learners receive detailed explanations regarding hardware purchase options to facilitate setup.
One signal suggests the AWS environment presentation can be disorganized, making specific topics like Device Shadows harder to follow.
One signal suggests the AWS environment presentation can be disorganized, making specific topics like Device Shadows harder to follow; however, this review predates the displayed update, and while the update label may have addressed it, it does not prove a correction.
The curriculum aligns well with the stated goals of embedded and IoT developers using various hardware.
