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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Principal features and services
- Applications across various sectors
Architecting Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: constructing a basic agent
Augmenting Agents with Memory and Utilities
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical session: broadening agent functionalities
Basics of AgentCore Runtime and Gateway
- Overview of runtime architecture
- Gateway connections for application integration
- Practical session: linking an agent to an application
Rolling Out Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical session: releasing a fully managed agent
Oversight and Observability
- Performance metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical session: establishing a monitoring workflow
Best Practices and Emerging Trends
- Considerations for governance and compliance
- Enhancing usability and system reliability
- Future developments in managed AI agents
Recap 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
