Hands on Lab: Build & monitor data pipelines with AI agents

December 10, 2025

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

Meet the speakers

Cody focuses on building Ascend’s Gen3 data automation platform, ensuring a delightful experience for data engineers. With a background in computer engineering, data engineering, and ML/AI he has worked on data interfaces, automation, and developer tooling at Microsoft’s Azure AI Platform, dbt Labs, and Voltron Data.

Cody Peterson

Product Lead @ Ascend.io

As Chief of Staff at , Jenny partners with data leaders and engineering teams to bring AI and automation into their day-to-day work. With years of experience in connecting with data teams, Jenny focuses on making advanced technologies accessible and practical for teams of all sizes.

Jenny Hurn

Chief of Staff @ Ascend.io

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