Overview
I’m excited to announce the new self-paced learning Vision AI with Cumulocity. This comprehensive learning experience is now available in our learning portal and designed to empower you with the fundamentals of how to train and mange computer vision models.
Why This Course Matters
As edge computing transforms industries, the ability to deploy AI-powered vision solutions directly on devices has become critical for real-time decision making, reduced latency, and enhanced privacy in applications ranging from manufacturing quality control to smart city monitoring. This course equips you with the practical skills to bridge the gap between AI model development and edge deployment, enabling you to build complete vision AI solutions that process data locally while leveraging Cumulocity’s powerful IoT management capabilities..
Course Overview
This focused 60-minutes course teaches you how to harness the power of Vision AI using Cumulocity IoT platform and the IMX500 camera model, covering everything from computer vision model training to seamless edge deployment. You’ll master the complete MLOps lifecycle, learning to onboard cameras, train and convert models, and deploy AI solutions directly to edge devices for real-time inferencing in practical applications.
What You’ll Learn
Introduction to Vision AI
Explore how computer vision capabilities integrate with Cumulocity to enable intelligent edge computing.
Camera Onboarding
Learn how to connect and manage your cameras in Cumulocity.
MLOps with Cumulocity
Learn how to leverage Cumulocity’s comprehensive MLOps capabilities to streamline the entire machine learning lifecycle, from model versioning and management to automated deployment pipelines for your Vision AI solutions.
Model Types
Explore the different categories of computer vision models supported by Cumulocity and IMX500, including object detection, image classification, and pose estimation, to understand which type best suits your specific use case requirements.
Model Training
Learn how to build and train custom computer vision models using popular frameworks, with hands-on exercises covering data preparation, model architecture selection, and optimization techniques specifically tailored for deployment on IMX500 edge devices.
Model Conversion
Learn how to convert trained computer vision models into the optimized format required for deployment on IMX500 cameras, ensuring efficient edge inference performance.
Applications and Integrations
Explore real-world use cases and learn how to seamlessly integrate your deployed Vision AI models with existing business systems and IoT workflows through Cumulocity’s comprehensive platform capabilities.
Course Approach
This course emphasizes practical, hands-on learning through demonstrations, real-world examples, and guided implementations. You’ll work with actual hardware and software configurations, ensuring you gain both theoretical understanding and practical experience.
Upon completion, you’ll receive a digital badge recognizing your successful completion of the course.
Get Started Today
Ready to elevate your data analytics skills?
Access the Vision AI with Cumulocity learning now in our learning portal.
Access to the Cumulocity Learning Portal is available for free or charge for everybody. If you are new to our Learning Portal please find out more about the Learning Portal.
Questions about the course content or need technical support? Reach out to our learning team or connect with fellow learners in our tech community forum.
Happy Learning! 