Get in Touch

Course Outline

Overview of Managed AI Agents

  • Definition and scope of AgentCore
  • Core features and available services
  • Cross-industry applications

Creating Your First Agent

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

Augmenting Agents with Memory and Tools

  • Implementing persistence and contextual awareness
  • Connecting tools and APIs
  • Practical session: Expanding agent functionalities

AgentCore Runtime and Gateway Fundamentals

  • Overview of runtime architecture
  • Integrating the gateway for application use
  • Practical session: Linking an agent to an application

Releasing Managed Agents

  • Deployment strategies within AgentCore
  • Considerations for scaling and operations
  • Practical session: Releasing a fully managed agent

Oversight and Monitoring

  • Utilizing metrics and dashboards in AgentCore
  • Monitoring performance and utilization
  • Practical session: Establishing a monitoring workflow

Best Practices and Industry Outlook

  • Governance and regulatory compliance
  • Enhancing usability and system reliability
  • Future advancements in managed AI agents

Concluding Summary and Path Forward

Requirements

  • A foundational grasp of AI and machine learning principles
  • Proficiency with cloud-based services
  • Experience with application development processes

Target Audience

  • AI professionals and enthusiasts
  • Product managers
  • Full-stack and generalist developers
 14 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories