🚀 Automate LLM Pipelines with Apache Airflow

Join us for an intensive 2-hour workshop where you'll learn to orchestrate and automate your Large Language Model workflows using Apache Airflow!

What You'll Learn 📚

Master Airflow Fundamentals 🔧
Dive into the core concepts of Apache Airflow including DAGs, Tasks, Operators, and Sensors. We'll provide a comprehensive UI walkthrough and demonstrate a quick local setup to get you started immediately.

Build Your First AI Pipeline 🤖
Experience hands-on development as we construct a simple LLM pipeline together. You'll learn to implement OpenAI text generation operators, create branching logic based on AI outputs, and properly store your results. We'll also cover common pitfalls and debugging strategies to save you hours of troubleshooting.

Advanced Multi-Step Workflows ⚡
Watch as we build a sophisticated document processing pipeline that demonstrates real-world AI automation. This includes PDF text extraction using BashOperator and Python, embedding generation with Vertex AI, summary creation via OpenAI, and vector database storage. You'll master XCom patterns for seamless data passing and learn dynamic task generation techniques.

Production-Ready Strategies 🏗️
Understand when to choose batch processing over real-time with OpenAITriggerBatchOperator, implement cost monitoring using CountTokensOperator, design robust error handling and retry strategies, and explore scaling patterns including Ray cluster integration.

Event Details 📅

• Date: November 1st, 2025
• Time: 10:30 AM EST
• Duration: 2 hours
• Format: Interactive online workshop with Q&A

Perfect for data engineers, MLOps practitioners, and developers looking to streamline their AI workflows!

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