In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering multi-agent patterns, context optimization techniques, security configurations, and monitoring frameworks. You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations. The course prepares you to design and deploy advanced agentic systems ready for real-world production environment.

• Course level: Advanced
• Duration: 1 day

Activities

This course includes presentations, hands-on lab, and group exercises.

Course objectives

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

This course is intended for:

• 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

Course Outline

Module 1: Multi-Agent Architecture and Communications Patterns

• Single agent limitations and multi-agent benefits
• Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 1: Building a Personal Budget Assistant with Strands Agents
• Multi-agent communication patterns
• Memory and state management
• Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 2: Building a Multi-Agent System for Complex Financial Analysis
• Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore

Module 2: Context Engineering and Performance Optimization

• Context as finite resource
• Context optimization techniques
• Tool design for context efficiency

Module 3: Security and Compliance Implementation

• Production Identity and Access Management
• VPC integration and network security

Module 4: Production Monitoring, Observability, and Evaluation

• Monitoring architecture
• AgentCore evaluation
• Enterprise observability integration
• Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 3: Deploying Production-Ready Agents with Amazon Bedrock AgentCore

Module 5: Well-Architected Agentic AI Systems

• Applying the Well-Architected framework
• Well-Architected deployment
• Production readiness

Module 6: Course Wrap-up

• Next steps and additional resources
• Course summary