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AW236: Building Agentic AI with Amazon Bedrock AgentCore NEW

AWS™ - Cloud - Artificial Intelligence

In the course AW236 Building Agentic AI with Amazon Bedrock AgentCore, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS™ services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

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Possible course languages: German

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Agenda:

Foundations of Agentic AI Patterns

Agent building blocks
Amazon Bedrock AgentCore introduction

AgentCore Runtime and Framework Integration

Supported frameworks and implementation
AgentCore Runtime overview
Infrastructure and deployment

Security and Identity Management

Security and identity management
Securing your agents with AgentCore Identity

Tool Integration and AgentCore Gateway

Amazon Bedrock AgentCore Policy
Built-in tools and custom integration
Model Context Protocol (MCP)
AgentCore Gateway
Implementing AgentCore Gateway
Amazon Bedrock AgentCore Policy

Agentic Memory Implementation

Agentic memory core concepts
AgentCore Memory
Securing AgentCore Memory
Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore

Production Monitoring and Observability

Monitoring agents with AgentCore Observability
Verifying agent performance with AgentCore Evaluation

Course wrap-up

Next steps and additional resources
Course summary

Objectives:

In the course AW236 Building Agentic AI with Amazon Bedrock AgentCor, 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 mechanismsnting complex
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

Target audience:

The course AW236 Building Agentic AI with Amazon Bedrock AgentCore is targeted at:

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:

To participate in the training AW236 Building Agentic AI with Amazon Bedrock AgentCore, you should have attended the following course in advance:

AW141: Agentic AI Foundations

Description:

The one-day course AW236 Building Agentic AI with Amazon Bedrock AgentCore teaches the fundamentals and practical skills needed to develop agent-based AI systems using AWS™ technologies. Participants learn how Agentic AI differs from traditional conversational systems and how to design, secure, and integrate autonomous, goal-oriented agents into production environments using the Strands Agents SDK and Amazon Bedrock AgentCore.

The course AW236 Building Agentic AI with Amazon Bedrock AgentCore combines presentations, group exercises, and a hands-on lab. It covers key topics such as agent architectures, runtime integration, security and identity management, tool integration via the AgentCore Gateway, agent-based storage strategies, observability, evaluation mechanisms, and production-ready deployment strategies.