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Duration 14 hours
Course Outline
Overview of Managed AI Agents
- Defining AgentCore
- Principal features and services
- Industry-specific applications
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical exercise: constructing a basic agent
Augmenting Agents via Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting tools and APIs
- Practical exercise: expanding agent capabilities
Foundations of AgentCore Runtime and Gateway
- Snapshot of runtime architecture
- Applying gateway integration for applications
- Practical exercise: linking an agent to an app
Launching Managed Agents
- Deployment alternatives within AgentCore
- Scalability and operational factors
- Practical exercise: launching a fully managed agent
Monitoring and Observability
- AgentCore metrics and dashboards
- Overseeing performance and usage
- Practical exercise: creating a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance factors
- Enhancing usability and reliability
- Future directions in managed AI agents
Conclusion and Path Forward
Requirements
- A foundational grasp of AI and machine learning principles
- Knowledge of cloud-based services
- Experience with application development processes
Target Audience
- Individuals interested in AI
- Product managers
- Generalist developers