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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Fundamental elements of AgentCore
- Context within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Operations
- Configuring the AgentCore Runtime
- Achieving secure API integration via Gateway
- Lab: Deploying a prototype agent
Memory Management and Stateful Agents
- Creating persistent context
- Structuring long-duration agent workflows
- Lab: Activating session-based memory
Identity, Access Control, and Security
- Implementing role-based access for AI agents
- Managing identity federation and enterprise integrations
- Lab: Setting up agent permissions
Observability and Monitoring Strategies
- Logging and tracing capabilities in AgentCore
- Tracking usage and performance metrics
- Lab: Building observability dashboards
Scaling and Orchestrating Multi-Agent Architectures
- Patterns for multi-agent cooperation
- Enhancing performance and system reliability
- Lab: Coordinating specialized agents
Governance and Compliance Frameworks
- Ensuring auditability and safe large-scale rollouts
- Compliance standards supported by AWS
- Best practices for highly regulated sectors
Recap and Future Steps
Requirements
- Familiarity with cloud-based AI and ML services
- Hands-on experience with tools within the AWS ecosystem
- Awareness of enterprise security and observability principles
Target Audience
- AI/ML Engineers
- DevOps Leaders
- Solution Architects
