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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- An overview of what AgentCore is
- Core features and available services
- Application scenarios across various industries
Designing Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical exercise: creating a basic agent
Expanding Agent Capabilities with Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: broadening agent functionality
AgentCore Runtime and Gateway Fundamentals
- An overview of the runtime architecture
- Integrating the gateway for application connectivity
- Practical exercise: linking an agent to an application
Rolling Out Managed Agents
- Exploring deployment options within AgentCore
- Addressing scaling and operational needs
- Practical exercise: deploying a fully managed agent
Monitoring and Observability
- Utilising metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical exercise: establishing a monitoring workflow
Best Practices and Emerging Trends
- Addressing governance and compliance requirements
- Focusing on usability and reliability optimisation
- Exploring future directions in managed AI agents
Recap and Recommended Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Awareness of cloud service offerings
- Experience with application development processes
Intended Learners
- AI professionals and enthusiasts
- Product managers
- Generalist developers
