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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Core features and service offerings
- Industry-wide use cases
Designing Your First Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical lab: constructing a basic agent
Enhancing Agents with Memory and Tools
- Implementing persistence and contextual awareness
- Incorporating tools and API integrations
- Practical lab: expanding agent capabilities
AgentCore Runtime and Gateway Basics
- Overview of runtime architecture
- Gateway integration for application connectivity
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment methodologies within AgentCore
- Scalability and operational strategies
- Practical lab: launching a fully managed agent
Monitoring and Observability
- Utilizing AgentCore metrics and dashboards
- Monitoring performance and utilization
- Practical lab: establishing a monitoring workflow
Best Practices and Future Trends
- Addressing governance and compliance requirements
- Optimizing for user experience and reliability
- Evolving trends in managed AI agents
Summary and Next Steps
Requirements
- A foundational understanding of AI and machine learning principles
- Knowledge of cloud-based services
- Exposure to application development processes
Target Audience
- Enthusiasts of artificial intelligence
- Product managers
- Generalist developers
