What you will learn

• Process Resilience Design: Build workflows with failure recovery patterns that maintain service continuity during outages or rate limits

• AI Quality Assurance: Establish monitoring and feedback loops to ensure machine learning outputs meet business accuracy requirements over time

• Integration Architecture: Design loosely-coupled automation systems that adapt to changing requirements without breaking workflows

• Operational Excellence: Implement logging, alerting, and tracking that enables proactive maintenance of automated processes