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Duration 14 hours
Course Outline
Introduction to AgentCore and Agentic AI
- Agentic AI in the enterprise context.
- Core components of AgentCore.
- Role within the AWS Bedrock ecosystem.
AgentCore Runtime and Gateway
- Setting up the AgentCore Runtime.
- Secure API integration via 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
- Familiarity with cloud-based AI/ML services.
- Experience working with tools within the AWS ecosystem.
- Knowledge of enterprise security and observability concepts.
Target Audience
- AI/ML engineers.
- DevOps leads.
- Solution architects.
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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