A Data Engineer’s Guide to AI Orchestration with Apache Airflow^®

More and more of data engineering work is being tied to AI projects, but most AI pilots get stuck as prototypes. The key to getting AI into prod is orchestration: running LLMs and agents as governed, observable AI tasks. This eBook contains practical patterns for LLM, agent and multi-agent orchestration that you can apply immediately, plus relevant code snippets for the latest Airflow AI features.

Learn how to:

• Orchestrate single-step LLM tasks, like summarization, categorization, and structured data extraction using @task.llm from the Common AI provider
• Add guardrails to multi-step agent orchestration with scoped toolsets, structured outputs, and Human-in-the-Loop review using @task.agent
• Identify use cases for LLMs and agents in your organization by reviewing common patterns for AI orchestration.