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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of Agentic AI within the enterprise
- Key components of AgentCore
- Placement within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Integration
- Initializing the AgentCore Runtime
- Achieving secure API integration through Gateway
- Exercise: deploying a sample agent
Memory Management and Stateful Agents
- Establishing persistent context
- Structuring long-running agent workflows
- Exercise: activating session-based memory
Identity, Permissions, and Security Protocols
- Defining role-based access for AI agents
- Identity federation and enterprise-level integration
- Exercise: setting agent permissions
Observability and Monitoring Capabilities
- Utilizing logging and tracing features in AgentCore
- Tracking metrics for usage and performance
- Exercise: building observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for collaborative multi-agent environments
- Enhancing performance and reliability
- Exercise: orchestrating specialized agents
Governance and Compliance Strategies
- Ensuring auditability and secure large-scale rollouts
- Compliance frameworks available within AWS
- Best practices for highly regulated sectors
Conclusions and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services
- Practical experience with the AWS ecosystem and its tools
- Understanding of enterprise security and observability principles
Intended Audience
- AI and 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 2600 € + VAT*
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