About this Hands-on Lab
Data engineering is evolving beyond manual pipeline development and reactive monitoring. In this 45-minute live session, you'll get hands-on experience using AI agents to build and monitor production data pipelines.
You'll learn how to:
- Use natural language to generate pipeline logic and transformations
- Deploy agents to continuously monitor pipeline health and data quality
- Let agents autonomously detect and resolve common pipeline issues
- Decide when agentic automation makes sense (and when it doesn't)
What you'll walk away with:
By the end of this lab, you'll understand how to leverage AI agents to handle the repetitive parts of pipeline management while you focus on the work that actually requires your expertise.
Prerequisites:
- Familiarity with data pipeline concepts (ingestion, transformation, orchestration)
- No prior experience with Ascend or AI agents required