STM32 Devices Data Management for Artificial Intelligence

Challenges, Techniques, and Integration for Beginners

 

Seats are limited! Register today and order your devices from ST to prepare on time for this hands-on training. Robust data management is critical in data computing and machine learning, comprising data collection, data preparation, data storage, and data quality control to ensure dependable and accurate model training and performance.

 

During this workshop, you will rapidly discover how to embed ITTIA DB Lite modern data management capabilities into STM32 devices. We will also show data management integrated with the Neural-ART Accelerator™ neural processing unit (NPU), embedded inside the STM32N6, for power-efficient edge AI applications.

 

Join this hands-on workshop to learn about data management for your STM32 device designs using the modern ITTIA DB Lite software for data processing and management. Quickly learn how to integrate advanced data management functionality seamlessly into your embedded systems.

 

You will learn how to unlock the power of STM32 devices for data management and benefit from edge computing with ITTIA DB Lite for AI applications that have limited computing power. We will introduce you to data streaming options with superior performance so you can derive fast insights from sensors attached to STM32 devices. You will rapidly learn techniques for optimizing performance, saving power, improving security and tracing provenance hidden in STM32 device data. We will introduce you to a data management and analytics design approach that emphasizes simplicity and efficiency to accomplish high performance data ingestion and querying with low power consumption.

 

The Training Advantage

Our specialized training delves into the critical data architecture of modern embedded systems. You will learn:
 

  • ITTIA DB Lite, STM32N6, STM32H5, STM32U5, etc. and ML data management requirements.
  • Data collection, data preparation, and data management techniques.
  • Data quality control, data security and data integration practices.
  • Data management tools and technologies.
  • The benefits of saving and securing data with ITTIA DB Lite and STM32 devices.

 

Go Hands-On

Gain practical experience and collaborate with our experts to:

 

  • Build a Prototype: Create a data driven campaign for an embedded system with ITTIA DB Lite and STM32 devices.
  • Master Data Toolsets: Learn the best techniques for integrating ITTIA DB Lite with AI/ML tools, RTOS, and STM32 devices.
  • Data Management for Your Needs: Training sessions address various on-device data challenges with STM32 devices, ensuring immediate benefits for your next projects.

 

Why This Training Matters

Regardless of your team's current experience, our focused approach will rapidly bring you up to speed on cutting-edge data management options for STM32 devices, including STM32N6, STM32H5, STM32H7, STM32U5, and more. You can unlock the full value of data pouring in from sensors, actuators, and gateway devices for machine learning and artificial intelligence with data management and analytics. You will save serious learning time, benefit from our decades of experience and R&D, and prepare yourself on time for the next wave of innovation. Seats are limited, so act fast.

 

Agenda

Attendees will gain experience in data processing, analysis, and data management on an STM32 device.

 

Session NumberSession DescriptionSession Duration
1Introduction to ITTIA DB Lite for STM32 Devices30 minutes
2Data Management Role in Edge AI30 minutes
3Key Data Management Features for Edge AI30 minutes
4Integrating Edge Data Management with AI Solutions30 minutes
5Cost Savings of Data Management for Edge AI30 minutes
6Edge Data Science Fundamentals30 minutes
7Edge Data Lineage and Provenance30 minutes
8Optimizing Microcontrollers for Edge AI Data30 minutes
Prerequisites
  • Programming: A solid foundation in C or C++ programming language.
  • Embedded Systems Concepts: Knowledge of microcontrollers (STM32 devices are plus,) and real-time operating systems (RTOS).
  • Domain Knowledge: An understanding of development for embedded systems and its limitations.
  • Advance Preparation: Paid registration invoice, install tools on development host, and have STM32N6, STM32H5, STM32H7, or STM32U5 device on hand.
Who should attend?
  • Developers
    • Developers interested in learning about data preparation for AI/ML applications.
    • Manufacturers who must collect, analyze, store and communicate real-time data within the entire embedded systems and run campaigns with or without connectivity.
    • Manufacturers who understand the importance of data for IoT and ML/AI.
  • CTOs
    • Visionary leaders who build and design safe and secure embedded systems with edge devices.
  • Architects
    • Architects selecting edge data platform software and hardware tools to build applications that must scale across a single unit or an entire embedded system.

 

What you can expect from this online workshop:

  • Learning the importance of data analytics for ML/AI and IoT.
  • Learning the importance of data management and data analytics for STM32 devices.
  • How STM32 devices can utilize data processing and management for fault detection and preventive maintenance.
  • Rapid learning of data management for building STM32 applications.
  • The most measurable design improvements for data-centric STM32 devices.
  • A great opportunity to accelerate embedded systems development journey with STM32 devices.

 

Register today and discover how we can collaborate closely with you to develop safe, secure, reliable, and performance-optimized data management solutions for embedded devices.

Enrollment
  • Register to receive the cost information and training syllabus.