Building Agentic AI with Amazon Bedrock AgentCore

In this course, you'll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS. You will use Amazon Bedrock AgentCore services for tool orchestration, identity management, and production monitoring to implement secure, scalable enterprise AI systems ready for deployment.

Build Agentic AI with Amazon Bedrock Course Delivery Methods

• In-Person

• Online

• Upskill your whole team by bringing Private Team Training to your facility.

Build Agentic AI with Amazon Bedrock Course Information

• Course Benefits

  • Define agentic AI characteristics and differentiate them from traditional AI systems.
  • Identify the core agent components and their interactions.
  • Describe how Bedrock AgentCore services support agentic AI.
  • Deploy agents by using supported frameworks with AgentCore Runtime.
  • Describe the core features of AgentCore Runtime.
  • Configure serverless execution with session isolation.
  • Configure AgentCore Identity for enterprise security requirements.
  • Create policies to secure agent tool calls using AgentCore Policy.
  • Implement secure token management and permission delegation.
  • Ensure compliance with data governance and audit requirements.
  • Implement different tool integration patterns, including built-in tools and protocol-based tools.
  • Design and deploy Model Context Protocol (MCP) servers and clients for extensible agent capabilities.
  • Describe common authentication patterns for agent tool use.
  • Configure AgentCore Gateway components for secure and authorized tool access.
  • Implement agentic memory patterns for different use cases.
  • Configure AgentCore Memory operations for context-aware development.
  • Optimize memory performance for production workloads.
  • Configure AgentCore Observability for production monitoring.
  • Implement Amazon CloudWatch integration and specialized tracing.
  • Describe the core features of AgentCore Evaluations.
  • Integrate agentic systems with production APIs and services.
  • Design deployment strategies for production environments.
  • Assess production readiness and establish continuous improvement processes

  Prerequisites

  We recommend that attendees of this course have:

  Agentic AI Foundations