Building Advanced Agentic Systems on AWS

In this course, you will learn to: • Analyze scenarios that require multi-agent architectures. • Describe primary multi-agent communication patterns and their use cases. • Configure agent-as-tool patterns for production deployments. • Implement memory sharing using available platform capabilities. • Implement context management strategies for production workloads. • Design context compression and optimization mechanisms. • Optimize resource usage and cost management across multi-agent systems. • Configure policy-based access control using AgentCore Policy Engine. • Implement VPC integration for secure agent deployments. • Implement distributed tracing and monitoring across multi-agent systems. • Establish comprehensive agent evaluation frameworks. • Configure integration patterns for enterprise observability systems • Establish comprehensive audit trails and compliance monitoring. • Integrate agentic systems with production APIs and services. • Design deployment strategies for production environments. • Assess production readiness and establish continuous improvement processes

Intended audience: • Software developers seeking intermediate knowledge for building advanced agentic • AI systems • Technical professionals exploring AI capabilities and interested in building advanced agentic AI systems. • Development teams building advanced agentic AI solutions Prerequisites: We recommend that attendees of this course have: • Agentic AI Foundations • Building Agentic AI with Amazon Bedrock AgentCore