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Duration 14 hours
Course Outline
Overview of Managed AI Agents
- Defining AgentCore
- Essential features and service offerings
- Industry-specific applications
Creating Your Initial Agent
- Defining agent objectives and roles
- Setting up managed agent parameters
- Practical exercise: Developing a basic agent
Augmenting Agents with Memory and Tools
- Incorporating persistence and context management
- Connecting external tools and APIs
- Practical exercise: Expanding agent functionality
Foundations of AgentCore Runtime and Gateway
- Insights into runtime architecture
- Integrating gateways for application connectivity
- Practical exercise: Linking an agent to an application
Implementing Managed Agents
- Exploring deployment strategies in AgentCore
- Considerations for scaling and operations
- Practical exercise: Deploying a fully managed agent
Oversight and Monitoring
- Utilizing AgentCore metrics and dashboards
- Monitoring performance and usage patterns
- Practical exercise: Creating a monitoring pipeline
Optimal Practices and Emerging Trends
- Addressing governance and compliance requirements
- Enhancing usability and system reliability
- Future trajectories in managed AI agents
Wrap-up and Future Pathways
Requirements
- Fundamental knowledge of AI and machine learning principles
- Acquaintance with cloud service ecosystems
- Experience with application development processes
Target Audience
- Technology enthusiasts interested in AI
- Product managers
- Generalist software developers
