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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- An overview of AgentCore
- Core features and service offerings
- Industry-specific applications and use cases
Architecting Your First Agent
- Defining agent roles and objectives
- Configuring managed agent parameters
- Practical exercise: Creating a basic agent
Augmenting Agents with Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: Expanding agent capabilities
Foundations of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Integrating gateways with applications
- Practical exercise: Linking an agent to an application
Launching Managed Agents
- Deployment options within AgentCore
- Considerations for scaling and operations
- Practical exercise: Deploying a fully managed agent
Monitoring and Observability
- Utilizing AgentCore metrics and dashboards
- Monitoring performance and usage patterns
- Practical exercise: Constructing a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance considerations
- Enhancing usability and reliability
- Future trajectories in managed AI agents
Recap and Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles
- Working knowledge of cloud services
- Experience with application development processes
Target Audience
- Technology enthusiasts
- Product managers
- Generalist developers