Hands-on Lab: Agentic Data Engineering

Agentic Data Engineering Hands-on Lab

Instant Replay

Go beyond theory—get hands-on with agentic data engineering.

In this 45 minute, hands-on lab, you'll:

Build custom agents for data operations

Use MCP servers to connect tools

Deploy agents with intelligent sensors and triggers

Leverage AI to monitor pipeline performance

About this Hands-on Lab

Instant Replay

Go beyond the theory—get hands-on with agentic data engineering.

In this interactive lab, you'll work directly with AI agents to build, deploy, and monitor production-ready data pipelines. You learn how to leverage automation tools to trigger agentic workflow, and connect to your existing tool stack through MCP servers.

Register to attend live or to receive the session recording.

In this exclusive session we'll cover

How to build custom AI agents for your data operations

Create specialized agents tailored to your pipeline requirements and deploy them in real-world scenarios.

Connecting AI to your existing tools with MCP servers

Bridge the gap between AI agents and your external tools using Model Context Protocol for seamless integration.

Automating workflows with intelligent sensors and triggers

Set up context-aware automation that responds to data changes, pipeline failures, and system events.

Featured Speaker

Shifra Williams is a data scientist and developer advocate on a mission to make a positive impact via data, analytics, and education. They have deep experience working with customers at Sigma Computing, client-facing data science at Annalect and JPMorgan Chase, and technical writing at Crash Course and DataLemur.

Shifra Williams

Developer Advocate @ Ascend.io