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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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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 (demo only available at launch, labs released shortly after)
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:
Guaranteed implementation:
from 2 Attendees
Booking information:
Duration:
1 Day
Price:
750,00 € plus VAT.
(including lunch & drinks for in-person participation on-site)
Appointment selection:
No appointment available
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