Webinar

Unlocking Edge AI

Advanced Features of Edge Impulse

Unlocking Edge AI: Advanced Features of Edge Impulse

Take your edge AI projects and solutions even further with our advanced features workshop. In this webinar, you will learn about the latest, most powerful capabilities of Edge Impulse such as enhanced model tuning and optimization, new deployment options, BYOM (bring your own model), visual anomaly detection, and more. Throughout this workshop, you’ll learn how to manage machine learning for the edge, including data pipelines, signal processing, ML training, model testing, and creating a deployable model that can run efficiently on any edge device, from MCU to MPU to GPU.

Join the workshop, “Unlocking Edge AI: Advanced Features of Edge Impulse”, and learn from Edge Impulse lead engineer Louis Moreau, connect with other developers, and get your questions answered. Register early and get a chance to win a Jetson Orin Nano Dev Kit. 

Learn how to:

  • Handle complex data pipelines
  • Use the latest advanced features of Edge Impulse such as model tuning and optimization, visual anomaly detection, and new deployment options
  • Reduce RAM and ROM usage in ML models without sacrificing accuracy or increasing latency
  • Deploy ML models to any edge device, gateway, or Docker container

When:
March 12th
8am PDT/11am EDT
Virtual

Speakers:

Louis started his career developing a low-power and GPS-based IoT solution to protect rhinos in an African conservancy. He is now leading the Developer Relations team at Edge Impulse. When not hacking hardware or automating tasks, you can see him riding an electric skateboard in Lille, northern France, or scuba diving in tropical islands.

Louis Moreau
Register nowRegister now

Unlocking Edge AI: Advanced Features of Edge Impulse

Take your edge AI projects and solutions even further with our advanced features workshop. In this webinar, you will learn about the latest, most powerful capabilities of Edge Impulse such as enhanced model tuning and optimization, new deployment options, BYOM (bring your own model), visual anomaly detection, and more. Throughout this workshop, you’ll learn how to manage machine learning for the edge, including data pipelines, signal processing, ML training, model testing, and creating a deployable model that can run efficiently on any edge device, from MCU to MPU to GPU.

Join the workshop, “Unlocking Edge AI: Advanced Features of Edge Impulse”, and learn from Edge Impulse lead engineer Louis Moreau, connect with other developers, and get your questions answered. Register early and get a chance to win a Jetson Orin Nano Dev Kit. 

Learn how to:

  • Handle complex data pipelines
  • Use the latest advanced features of Edge Impulse such as model tuning and optimization, visual anomaly detection, and new deployment options
  • Reduce RAM and ROM usage in ML models without sacrificing accuracy or increasing latency
  • Deploy ML models to any edge device, gateway, or Docker container

When:
March 12th
8am PDT/11am EDT
Virtual

Register nowRegister now
Speaker:

Louis started his career developing a low-power and GPS-based IoT solution to protect rhinos in an African conservancy. He is now leading the Developer Relations team at Edge Impulse. When not hacking hardware or automating tasks, you can see him riding an electric skateboard in Lille, northern France, or scuba diving in tropical islands.

Louis Moreau

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