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25031 AIML2: Dynamic logging with sensor fusion on multiple edge nodes with Stream Analyze Engine (August 2025)

In this course you will learn how to develop models directly on the edge and deploy models to large fleets of edge nodes without the need for firmware updates.

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About this course

This is a recording of the course "25031 AIML2: Dynamic logging with sensor fusion on multiple edge nodes with Stream Analyze Engine" from the 2025 MASTERs Conference.

Dynamic logging of sensor data is often a first step to servitization and implementing predictive maintenance. In this class you will develop an analytical model to dynamically log sensor data from an accelerometer and weather sensor. You will use the Stream Analyze Engine platform to develop, interactively test and deploy the model to the edge. As a final step, it will be demonstrated how a model can be deployed to all participants' edges at once. This course will guide you to develop models directly on the edge and deploy models to large fleets of edge nodes without the need for firmware updates.

Prerequisites:

none

Curriculum107 min

  • About this course
  • Class Overview
  • Syllabus & Downloads
  • Introduction 2 min
  • Edge Analytics 7 min
  • Stream Analyze - SA Engine 8 min
  • LAB 1a 15 min
  • LAB 1b 7 min
  • LAB 1c 14 min
  • LAB 2a 18 min
  • LAB 2b 14 min
  • LAB 2c 20 min
  • Summary 2 min
  • Complete Recording
  • 25031 AIML2 (108 min)

About this course

This is a recording of the course "25031 AIML2: Dynamic logging with sensor fusion on multiple edge nodes with Stream Analyze Engine" from the 2025 MASTERs Conference.

Dynamic logging of sensor data is often a first step to servitization and implementing predictive maintenance. In this class you will develop an analytical model to dynamically log sensor data from an accelerometer and weather sensor. You will use the Stream Analyze Engine platform to develop, interactively test and deploy the model to the edge. As a final step, it will be demonstrated how a model can be deployed to all participants' edges at once. This course will guide you to develop models directly on the edge and deploy models to large fleets of edge nodes without the need for firmware updates.

Prerequisites:

none

Curriculum107 min

  • About this course
  • Class Overview
  • Syllabus & Downloads
  • Introduction 2 min
  • Edge Analytics 7 min
  • Stream Analyze - SA Engine 8 min
  • LAB 1a 15 min
  • LAB 1b 7 min
  • LAB 1c 14 min
  • LAB 2a 18 min
  • LAB 2b 14 min
  • LAB 2c 20 min
  • Summary 2 min
  • Complete Recording
  • 25031 AIML2 (108 min)