ML Model and Dual-Core Debugging on Alif Ensemble E7

Explore advanced embedded development with the Alif Ensemble E7 and Keil Studio. In this webinar, Arm experts walk through building and debugging a machine learning application across dual Cortex-M55 cores and Ethos-U55 NPUs. Learn how to manage complex multicore workflows, integrate ML models, and retrain them efficiently using Jupyter notebooks in Visual Studio Code.

This session is ideal for developers working on intelligent edge devices looking to optimize performance and streamline development across heterogeneous compute resources.

Date: August 12, 2025
Time: 8 a.m. PDT | 4 p.m. BST | 5 p.m. CET and on-demand
Length: 30 min with live Q&A

What You Will Learn:

• How to set up and manage dual-core projects for the Alif Ensemble E7.
• How to debug Cortex-M55 and Ethos-U55 cores in a synchronized workflow.
• How to analyze runtime behavior and inspect memory and registers across multiple cores.
• How to integrate and validate ML models on embedded targets.
• How to retrain ML models efficiently using Jupyter notebooks in VS Code.

Who Should Attend:

This webinar is designed for embedded developers, AI/ML engineers, and system architects working with multicore and ML-capable microcontrollers who want to accelerate design and debugging workflows.

This webinar is part of "The Keil Studio" series. Unlock new levels of productivity in embedded systems design with Keil Studio—the modern Arm IDE built on Visual Studio Code. This webinar series walks you through project setup, STM32 integration, ML application development, and real-time data streaming—all within one unified development environment.