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Course Outline

Introduction to Managed AI Agents

  • Defining AgentCore
  • Primary features and associated services
  • Applications across various sectors

Architecting Your Initial Agent

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

Expanding Agent Capabilities with Memory and Tools

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

Foundations of AgentCore Runtime and Gateway

  • Overview of runtime architecture
  • Gateway integration for application use
  • Practical lab: Linking an agent to an application

Releasing Managed Agents

  • Deployment pathways within AgentCore
  • Scalability and operational factors
  • Practical lab: Launching a fully managed agent

Oversight and Observability

  • AgentCore metrics and dashboards
  • Monitoring performance and usage patterns
  • Practical lab: Constructing a monitoring pipeline

Best Practices and Emerging Trends

  • Governance and compliance perspectives
  • Enhancing usability and system reliability
  • Future trajectories in managed AI agents

Recap and Path Forward

Requirements

  • Fundamental grasp of AI and machine learning principles
  • Working knowledge of cloud services
  • Basic familiarity with application development processes

Target Audience

  • AI professionals
  • 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 3200 € + VAT*

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