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Learn to customize AI models for agentic applications at enterprise scale using Amazon SageMaker AI and Bedrock in this 46-minute conference talk from AWS re:Invent 2025. Discover how SageMaker AI provides purpose-built capabilities that create reliable pathways from prototype to production for customized AI models powering agentic AI applications. Explore the integration of SageMaker AI with Bedrock AgentCore to standardize and automate processes for moving AI models and agents into production with built-in reliability, observability, and governance at scale. Master the use of ModelOps tools including SageMaker Pipelines for orchestrating model deployment workflows, MLflow for tracking experiments across prompt strategies and agent configurations, and Model Registry for enabling compliant versioning and model management. Gain practical insights into proven patterns for bringing customized AI models and agents into production environments quickly while maintaining responsible AI practices and enterprise-grade compliance requirements.
