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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.
Price per private group, online live training, starting from 3200 € + VAT*
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