• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

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.

Audience profile 

• Software developers seeking intermediate knowledge for building agentic systems
• Technical professionals exploring AI capabilities and interested in building agentic AI systems.
• Development teams building agentic AI solutions.

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Course details

Module 1: Foundations of Agentic AI Patterns
• Agent building blocks
• Amazon Bedrock AgentCore introduction

Module 2: AgentCore Runtime and Framework Integration
• Supported frameworks and implementation
• AgentCore Runtime overview
• Infrastructure and deployment

Module 3: Security and Identity Management
• Security and identity management
• Securing your agents with AgentCore Identity

Module 4: 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

Module 5: Agentic Memory Implementation
• Agentic memory core concepts
• AgentCore Memory
• Securing AgentCore Memory
Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore

Module 6: Production Monitoring and Observability
• Monitoring agents with AgentCore Observability
• Verifying agent performance with AgentCore Evaluation

Module 7: Course Wrap-up
• Next steps and additional resources
• Course summary

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Prerequisites

• Agentic AI Foundations

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