Course Overview of Building Agentic AI with Amazon Bedrock AgentCore:

Building Agentic AI with Amazon Bedrock AgentCore is an intermediate, 1-day instructor-led AWS classroom training designed to help learners move agentic AI systems from experimentation to enterprise-grade production.

Participants explore agentic AI patterns, understand core agent components and their interactions, and implement production-ready architectures using Amazon Bedrock AgentCore capabilities such as Runtime, Identity, Policy, Gateway, Memory, Observability, and Evaluations.

The course combines presentations, hands-on labs, and group exercises to ensure learners can confidently design, secure, deploy, and monitor agentic AI systems in real-world environments.

After completing Building Agentic AI with Amazon Bedrock AgentCore, participants will be able to:

  • Define agentic AI characteristics and differentiate agentic systems from traditional AI solutions
  • Identify core agent components and explain their interactions
  • Explain how Amazon Bedrock AgentCore supports building and operating agentic AI systems
  • Deploy agents using supported frameworks with AgentCore Runtime
  • Configure serverless execution with session isolation for scalable workloads
  • Implement enterprise-grade security using AgentCore Identity
  • Optimize memory performance for production use cases
  • Monitor and trace agents using AgentCore Observability and CloudWatch integration
  • Evaluate agent performance using AgentCore Evaluations
  • Design production deployment strategies and assess operational readiness

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Key Features of Building Agentic AI with Amazon Bedrock AgentCore:

  • 1-Day Intermediate AWS Classroom Training

  • Instructor-led delivery with expert guidance

  • Hands-on lab and group exercises for applied learning

  • Deep dive into AgentCore Runtime, Identity, Policy, Gateway, Memory, Observability, and Evaluations

  • Focus on enterprise security, governance, scalability, and monitoring

  • Practical guidance for taking agentic AI solutions from proof-of-concept to production

Who should Attend Building Agentic AI with Amazon Bedrock AgentCore?

  • Software developers seeking intermediate knowledge in agentic AI systems
  • Technical professionals exploring advanced AI capabilities on AWS
  • Development teams building or scaling agentic AI solutions
  • Engineers responsible for deploying, securing, or operating AI-driven applications

Prerequisites Building Agentic AI with Amazon Bedrock AgentCore:

Participants are recommended to have:
  • Completion of Agentic AI Foundations
  • Basic familiarity with AWS services and cloud concepts
  • Understanding of APIs and application development fundamentals

    • Why choose CloudThat as your training partner?

    • AWS-Focused Expertise: Specialized training programs dedicated to AWS technologies and real-world use cases
    • Experienced Instructors: Amazon Authorized instructors with hands-on experience building and operating AWS solutions
    • Hands-On Learning Approach: Practical labs and guided exercises to reinforce learning
    • Enterprise-Ready Perspective: Emphasis on security, scalability, observability, and operational excellence
    • Interactive Learning Experience: Live discussions, collaborative exercises, and expert mentoring
    • Continuously Updated Content: Training aligned with the latest AWS services and best practices

    Course Outline: Download Course Outline

    Agent building blocks

    Amazon Bedrock AgentCore introduction

    Supported frameworks and implementation

    AgentCore Runtime overview

    Infrastructure and deployment

    Security and identity management

    Securing your agents with AgentCore Identity

    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 core concepts

    AgentCore Memory

    Securing AgentCore Memory

    • Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore

    Monitoring agents with AgentCore Observability

    Verifying agent performance with AgentCore Evaluation

    Next steps and additional resources

    Course summary

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    Course ID: 27060

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