Tutorials Overview
Key takeaway
The data and AI tutorials are hands-on, end-to-end workflows for data and AI teams. One shows how to build a KPI-ready data product from ingestion to consumption. The other walks through the MLOps lifecycle, taking a machine learning model from training through deployment to production monitoring and retraining.
These tutorials walk through practical, end-to-end workflows for building data products and productionizing AI.
Featured Tutorials
Next Steps
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Sources
Frequently asked questions
What tutorials are available for data and AI teams?
Two hands-on tutorials are available. Build a KPI-Ready Data Product covers delivering a trustworthy data product that powers a business KPI from ingestion to consumption. MLOps Lifecycle: From Training to Monitoring covers a repeatable workflow for taking a machine learning model from training into monitored production.
Which data and AI tutorial should I start with?
Start with the data product tutorial if your priority is trustworthy reporting or analytics, and the MLOps lifecycle tutorial if you already have models to productionize. Reliable models depend on reliable data, so teams without governed, monitored data products usually benefit from building one first.
