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Course Outline
Introduction to AgentCore and Agentic AI
- Agentic AI in the Enterprise
- Core Components of AgentCore
- Positioning within the AWS Bedrock Ecosystem
AgentCore Runtime and Gateway
- Setting Up the AgentCore Runtime for Government
- Secure API Integration with the Gateway
- Practical Exercise: Deploying a Sample Agent
Memory and Stateful Agents
- Implementing Persistent Context for Government
- Designing Long-Running Agent Workflows
- Practical Exercise: Enabling Session-Based Memory
Identity, Permissions, and Security
- Role-Based Access for AI Agents in Government
- Identity Federation and Enterprise Integration
- Practical Exercise: Configuring Agent Permissions
Observability and Monitoring
- Logging and Tracing with AgentCore for Government
- 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 for Government
- Practical Exercise: Orchestration of Specialized Agents
Governance and Compliance
- Auditability and Safe Rollout at Scale for Government
- Compliance Frameworks Supported in AWS for Government
- Best Practices for Regulated Industries
Summary and Next Steps
Requirements
- An understanding of cloud-based artificial intelligence and machine learning services for government.
- Experience with the AWS ecosystem tools.
- Knowledge of enterprise security and observability concepts.
Audience
- AI/ML engineers
- DevOps leads
- Solution architects
14 Hours
