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Course Outline
Introduction to AgentCore and Agentic AI
- Agentic AI in the enterprise
- Core components of AgentCore
- Positioning within AWS Bedrock ecosystem
AgentCore Runtime and Gateway
- Setting up the AgentCore Runtime
- Secure API integration with Gateway
- Practical exercise: deploying a sample agent
Memory and Stateful Agents
- Implementing persistent context
- Designing long-running agent workflows
- Practical exercise: enabling session-based memory
Identity, Permissions, and Security
- Role-based access for AI agents
- Identity federation and enterprise integration
- Practical exercise: configuring agent permissions
Observability and Monitoring
- Logging and tracing with AgentCore
- Metrics for usage and performance
- Practical exercise: implementing observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration
- Performance optimization and reliability
- Practical exercise: orchestration of specialized agents
Governance and Compliance
- Auditability and safe rollout at scale
- Compliance frameworks supported in AWS
- Best practices for regulated industries
Summary and Next Steps
Requirements
- An understanding of cloud-based AI/ML services
- Experience with AWS ecosystem tools
- Knowledge of enterprise security and observability concepts
Audience
- AI/ML engineers
- DevOps leads
- Solution architects
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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