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Space Camp
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| With Volker Janz (Dev Advocate, Astronomer), Sofya Samvelova (ML Enggr, Laurel). |
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Aug 18 (Tue) @ 04:00 PM
FREE
| | SF Ferry Building, 1 Ferry Building, SF
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Sit down with data engineering leaders to hear how they turned hard problems into production-ready systems before putting your skills to the test in a gamified hands-on challenge.
The data universe is expanding. You've been recruited. It's time to build.
Step into the role of a data engineer at AstroTrips, a fictional interplanetary travel company, & build an AI-powered pipeline to process customer review using LLM analysis, intelligent routing, vector embeddings, & an AI agent that drafts responses, all with human-in-the-loop approval.
workshop details
Focus: AI & LLM orchestration patterns
Level: Intermediate
Prerequisites: Basic Python knowledge, familiarity with Airflow concepts helpful but not required
Environment: Browser-based (Astro IDE), no local setup or Docker required
mission breakdown
Setting the stage:
We'll kick off with an introduction to AstroTrips, Airflow as a unified control plane for data & AI, & the decorator-based approach to LLM orchestration.
Hands-on Workshop Stages:
Setup: Connect to the Astro IDE, start your Airflow environment, & explore the Support Portal plugin.
Analyze reviews: Build an LLM pipeline that classifies & summarizes customer reviews, including image analysis for reviews with attachments.
Route reviews: Use AI-powered branching to assign reviews to the right team, with dynamic task mapping over the full review queue.
Embed reviews: Generate vector embeddings & store them for similarity search, with asset-triggered scheduling.
Respond to reviews: Build an agent with database tools that drafts customer responses, then pause for human approval before persisting the result.
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