Building Interactive, AI-powered IoT Applications
summary
Shows how to stitch AWS IoT, Greengrass and Lambda into real apps: MQTT over WebSockets to a cloud shadow, rules feeding Elasticsearch/Firehose→S3→Athena, and a realtime demo handling 134 clicks/sec from browsers. Demonstrates training in Amazon SageMaker, pushing models to DeepLens on Greengrass ML from S3, and running inference locally with Lambda. Builds a hot dog / no hot dog classifier, deployed to the device; demos generally work though prototypes occasionally crash.
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chapters (10)
- 0:00Start
- 0:21Thomas Edison
- 3:23Alexa Simulator
- 6:14Why Are We Talking about Iot
- 11:51Rule in Action
- 20:22The Console for Iot on Aws
- 23:28Green Grass
- 26:53Amazon Go
- 29:54Sage Maker
- 35:40Modify Parameters
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