Building Advanced Agentic Systems on AWS
Course 1929
1 DAY COURSE

In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering mulit-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.

Building Advanced Agentic Systems on AWS Benefits

• Course Benefits

  • 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.
  • Design deployment strategies for production environments.
  • Assess production readiness and establish continuous improvement processes

  Prerequisites

  We recommend that attendees of this course have completed:

  • Agentic AI Foundations
  • Building Agentic AI with Amazon Bedrock AgentCore

Advanced Agentic Systems on AWS Course Outline

Learning Objectives

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

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