План на курса

Introduction to Managed AI Agents

  • What is AgentCore?
  • Key features and services
  • Use cases across industries

Designing Your First Agent

  • Conceptualizing agent roles and goals
  • Configuring managed agent settings
  • Hands-on lab: building a simple agent

Enhancing Agents with Memory and Tools

  • Adding persistence and context
  • Integrating tools and APIs
  • Hands-on lab: extending agent capabilities

AgentCore Runtime and Gateway Basics

  • Runtime architecture overview
  • Gateway integration for applications
  • Hands-on lab: connecting an agent to an app

Deploying Managed Agents

  • Deployment options in AgentCore
  • Scaling and operational considerations
  • Hands-on lab: deploying a fully managed agent

Monitoring and Observability

  • Metrics and dashboards in AgentCore
  • Tracking performance and usage
  • Hands-on lab: building a monitoring workflow

Best Practices and Future Trends

  • Governance and compliance considerations
  • Optimizing for usability and reliability
  • Emerging directions in managed AI agents

Summary and Next Steps

Изисквания

  • Основни знания за концепции на изкуствен интелигент и машинно обучение
  • Знакомство с облачни услуги
  • Изложение на процеси за разработка на приложения

Целева аудитория

  • Ентусиасти на изкуствен интелигент
  • Мениджъри на продукти
  • Универсални разработчици
 14 часа

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