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Course Outline

Getting Started with Managed AI Agents

  • An overview of AgentCore
  • Essential features and service offerings
  • Industry-wide application examples

Architecting Your Initial Agent

  • Defining agent roles and objectives
  • Setting up managed agent parameters
  • Practical session: creating a basic agent

Expanding Agent Capabilities with Memory and Tools

  • Implementing persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical session: broadening agent functionality

AgentCore Runtime and Gateway Fundamentals

  • Understanding the runtime architecture
  • Integrating gateways for application support
  • Practical session: linking an agent to an application

Deploying Managed Agents

  • Reviewing deployment strategies within AgentCore
  • Addressing scaling and operational needs
  • Practical session: launching a fully managed agent

Oversight and Observability

  • Utilizing metrics and dashboards in AgentCore
  • Moving performance and usage tracking
  • Practical session: establishing a monitoring workflow

Best Practices and Emerging Trends

  • Considering governance and compliance requirements
  • Focusing on usability and system reliability
  • Exploring future directions in managed AI agents

Recap and Path Forward

Requirements

  • A foundational grasp of AI and machine learning principles
  • Knowledge of cloud service architectures
  • Experience with application development processes

Target Audience

  • AI professionals and enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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