Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to AgentCore and Agentic AI
- The role of Agentic AI in enterprises.
- Key components of AgentCore.
- How AgentCore fits within the AWS Bedrock ecosystem.
AgentCore Runtime and Gateway
- Configuring the AgentCore Runtime.
- Integrating securely with the Gateway via API.
- Hands-on exercise: Deploying a sample agent.
Memory and Stateful Agents
- Implementing persistent context management.
- Designing workflows for long-running agents.
- Hands-on exercise: Enabling session-based memory.
Identity, Permissions, and Security
- Applying role-based access control for AI agents.
- Setting up identity federation and enterprise integration.
- Hands-on exercise: Configuring agent permissions.
Observability and Monitoring
- Utilizing logging and tracing features in AgentCore.
- Tracking metrics for usage and performance.
- Hands-on exercise: Building observability dashboards.
Scaling and Orchestrating Multi-Agent Systems
- Exploration of design patterns for multi-agent collaboration.
- Strategies for performance optimization and reliability.
- Hands-on exercise: Orchestrating specialized agents.
Governance and Compliance
- Ensuring auditability and facilitating safe scaling.
- Overview of compliance frameworks supported by AWS.
- Best practices for meeting regulatory requirements in various industries.
Summary and Next Steps
Requirements
- Familiarity with cloud-based AI and ML services.
- Hands-on experience with tools within the AWS ecosystem.
- Understanding of enterprise security and observability principles.
Target Audience
- AI and ML engineers.
- DevOps leads.
- Solution architects.
14 Hours
