Building Advanced Agentic Systems on AWS (GK910037)

Kurskode: GK910037

varighet: 1

Katergori: Amazon Web Services

Course Overview

Implement 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.

Updated Jan 2026

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
Module 6: Course Wrap-up

• Next steps and additional resources

• Course summary

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.

We recommend that attendees of this course have knowledge of:

• Agentic AI Foundations

• Building Agentic AI with Amazon Bedrock AgentCore

- Software developers
- Technical Professionals

Salar Ghadani

Salg

Har du spørsmål, ta kontakt

918 34 713 salar@sgpartner.no

Kurskode: GK910037

varighet: 1

KATEGORI: Amazon Web Services

Underkatergori: Artificial intelligence

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