Agentic AI Performance & Reliability

This comprehensive specialization equips you with essential skills to build, deploy, and maintain reliable AI systems in production environments. Through eight hands-on courses, you'll master the complete MLOps lifecycle—from data preparation and model monitoring to automated deployment pipelines and real-time anomaly detection. You'll learn to implement feedback loops, track KPIs through dashboards, and ensure AI agents perform consistently at scale, preparing you to tackle the critical challenges of maintaining trustworthy AI systems in enterprise settings

• Build automated MLOps pipelines for deploying, monitoring, and retraining AI models in production environments
• Implement real-time anomaly detection and performance monitoring systems with KPI dashboards and automated alerts
• Design feedback loops and reproducible workflows to ensure AI reliability and continuous improvement at scale

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work