Course Catalog
Building Advanced Agentic Systems on AWS
Duration: 1 Day
$695 USD

OVERVIEW

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.

DELIVERY FORMAT

This course is available in the following formats:

Virtual Classroom

Duration: 1 Day

CLASS SCHEDULE

Delivery Format: Virtual Classroom
Date: Sep 04 2026 - Sep 04 2026 | 08:00 - 16:00 EDT
Location: Online
Course Length: 1 Day

$ 695

Delivery Format: Virtual Classroom
Date: Oct 16 2026 - Oct 16 2026 | 08:00 - 16:00 EDT
Location: Online
Course Length: 1 Day

$ 695

Delivery Format: Virtual Classroom
Date: Dec 04 2026 - Dec 04 2026 | 08:00 - 16:00 EST
Location: Online
Course Length: 1 Day

$ 695

GOALS

In this course, you will learn to do the following:

  • 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.
OUTLINE


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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
LABS


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Will Be Updated Soon!
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WHO SHOULD ATTEND
  • Software developers
  • Technical Professionals
PREREQUISITES

We recommend that attendees of this course have knowledge of:

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