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Course Outline

Introduction to Managed AI Agents

  • An overview of what AgentCore is
  • Core features and available services
  • Industry-specific use cases

Creating Your First Agent

  • Defining agent roles and objectives
  • Setting up managed agent configurations
  • Practical lab: constructing a basic agent

Enhancing Agents via Memory and Tools

  • Incorporating persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical lab: expanding agent functionality

Fundamentals of AgentCore Runtime and Gateway

  • Overview of the runtime architecture
  • Integrating the gateway with applications
  • Practical lab: linking an agent to an application

Deploying Managed Agents

  • Available deployment methods within AgentCore
  • Considerations for scaling and operations
  • Practical lab: launching a fully managed agent

Monitoring and Observability

  • Utilising metrics and dashboards in AgentCore
  • Monitoring performance and usage patterns
  • Practical lab: establishing a monitoring workflow

Best Practices and Future Trends

  • Factors for governance and compliance
  • Strategies to optimise usability and reliability
  • Emerging trends in managed AI agents

Recap and Future Directions

Requirements

  • Fundamental knowledge of AI and machine learning principles
  • Experience with cloud service platforms
  • Previous exposure to application development processes

Target Audience

  • Individuals interested in AI
  • Product managers
  • Generalist developers
 14 Hours

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Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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