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Course Outline

Introduction to Managed AI Agents

  • Defining AgentCore
  • Essential features and service offerings
  • Industry-wide use cases

Architecting Your Initial Agent

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

Augmenting Agents via Memory and Tools

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

Foundations of AgentCore Runtime and Gateway

  • Overview of the runtime architecture
  • Integrating gateways for application connectivity
  • Practical lab: linking an agent to an application

Implementing Managed Agents

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

Monitoring and Observability

  • Utilizing AgentCore metrics and dashboards
  • Monitoring performance and utilization
  • Practical lab: establishing a monitoring workflow

Best Practices and Emerging Trends

  • Addressing governance and compliance needs
  • Enhancing usability and reliability
  • Future trajectories in managed AI agents

Wrap-up and Recommended Next Steps

Requirements

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

Target Audience

  • AI aficionados
  • Product managers
  • Generalist developers
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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