Webinar Series: Arm Keil Studio

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.

 

Attend this series to learn all the practical skills to succeed using Keil Studio, and transform how you build, debug, and deploy embedded applications.

 

Sessions begin with a 20-minute presentation or demo, followed by a 10-minute Q&A, giving you plenty of opportunities to engage with our experts and get your questions answered.


Webinar 1: Introduction to Arm Keil Studio

Discover how Keil Studio simplifies embedded development through a Git-friendly workflow, CMSIS support, and powerful debugging features. Learn how to:

  • Set up projects and manage code with Git integration.
  • Use CMSIS-Pack for component selection.
  • Build, flash, and debug using the Arm CMSIS Debugger.

Ideal for developers transitioning from legacy tools or starting fresh with modern embedded workflows.

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Webinar 2: Using Arm Keil Studio with STM32 Devices

Master STM32 development with Keil Studio and STM32CubeMX. This session covers:

  • Creating STM32 projects and syncing configurations.
  • Middleware and device-specific build optimizations.
  • Real-time debugging via ST-LINK or CMSIS-DAP.

Perfect for STM32 developers looking to streamline and scale from prototyping to production.

Date: July 29, 2025

Length: 30 min with live Q&A

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Webinar 3: ML and Dual-Core Debugging on Alif Ensemble E7

Explore dual-core debugging and AI integration using Keil Studio with Alif Ensemble E7:

  • Debug heterogeneous cores (Arm Cortex-M55 and Arm Ethos-U55).
  • Develop and iterate ML models in Jupyter notebooks within VS Code.
  • Analyze multicore behavior and validate end-to-end AI workflows.

Designed for developers building ML-enabled edge applications with advanced debugging requirements.

Date: August 12, 2025

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Webinar 4: Synchronous Data Streaming for ML Applications

Learn to accelerate ML model training with the SDS Framework:

  • Capture and label real-time sensor data.
  • Run regression tests in simulation or on hardware.
  • Integrate data pipelines with your ML toolchain.

Ideal for teams developing edge AI applications and looking to streamline the ML data pipeline.

Date: September 16, 2025

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