Apache Airflow is the standard for data orchestration and the backbone of any modern data-driven organization. With recent advancements in generative AI, more and more teams are tasked with quickly implementing cutting-edge ML/AI initiatives within a rapidly evolving ecosystem of tools and techniques. Luckily, Airflow is here to help you meet these demands by enabling you to create dynamic, scalable, and robust ML/AI pipelines.

This ebook covers best practices for using the latest Airflow features for generative AI and general machine learning use cases. It includes topics like:

• Best practice implementation of dynamic task mapping in ML/AI pipelines
• Connecting classical data engineering and ML/AI DAGs using advanced dataset scheduling
• Key Airflow features for Day 2 ML/AI operations
• Key Airflow integrations for ML/AI tools
• And more!