This course explores AI/ML inferencing on Cumulocity IoT using Hyperscaler Clouds like Amazon SageMaker, covering model creation, deployment, and practical uses, including an example of anomaly detection for wind turbine data. See also Course Description (PDF).
⏳ 26 min 🥇Attendance Badge
View course (Enrollment required)
The Cumulocity IoT platform enables to run real-time IoT business logic using the Event Processing Language (EPL). This learning covers EPL basics, EPL App development within Cumulocity IoT, and includes explanations and demonstrations. See also Course Description (PDF).
⏳ 90 min 🥇Attendance Badge
View course (Enrollment required)
The Analytics Builder enables you to create analytics models in a graphical environment using pre-built blocks. This learning provides information on the pre-built blocks available in the model editor palette that are not covered in the Cumulocity IoT Professional course. See also Course Description (PDF).
⏳ 45 min 🥇Attendance Badge
View course (Enrollment required)
Cumulocity IoT Analytics Builder allows domain experts to define analytics models using pre-built blocks. Learn to extend it with custom blocks using the Analytics Builder Block SDK. This course covers an introduction, followed by building and deploying custom blocks. See also Course Description (PDF).
⏳ 40 min 🥇Attendance Badge
View course (Enrollment required)
This course explores Cumulocity IoT's DataHub's offloading, transformation. and BI tool integration. You learn DataHub architecture and processing, with demos on working with DataHub and using tools like PowerBi and Jupyter Notebook. See also Course Description (PDF).
⏳ 70 min 🥇Attendance Badge
View course (Enrollment required)
EPL Apps lets you develop EPL apps directly with Cumulocity IoT. This course covers writing multi-tenant EPL Apps for the Apama-ctrl microservice, exploring the multi-tenant API, its capabilities, and limitations. See also Course Description (PDF).
⏳ 42 min 🥇Attendance Badge
View course (Enrollment required)