Tutorials#
Master the most interesting functionalities of OctaiPipe using End-to-End examples, all in one place.
- End-to-end cloud training to edge deployment example - Remaining Useful Life
- End-to-end cloud training to edge deployment example - classification
- Example Custom Pipeline Steps
- Remaining Useful Life Estimation
- Tutorial for Using MLOps global and local policies
- Federated Learning - Anomaly Detection
- Tutorial - Running FL XGBoost with OctaiPipe
- Tutorial - Running ML Inference with OctaiOxide (OctaiPipe in WASM)
These examples are included in the Tutorials folder on your OctaiPipe Jupyter server. In that folder, you will also find an Enablement folder, which contains a series of step-by-step examples, based on e2e_classification_example, that illustrates the typical steps of developing, testing, and deploying a ML/FL pipeline on OctaiPipe.
We hope these tutorials are helpful for your OctaiPipe journey. These examples will make your data scientist journey much smoother and simpler as you get started with the product.