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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Primary features and services
- Applications across various sectors
Designing Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical lab: creating a basic agent
Augmenting Agents with Memory and Tools
- Incorporating persistence and context
- Connecting tools and APIs
- Practical lab: expanding agent capabilities
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Gateway integration for applications
- Practical lab: linking an agent to an app
Deploying Managed Agents
- Deployment choices within AgentCore
- Scaling and operational factors
- Practical lab: launching a fully managed agent
Monitoring and Observability
- Metrics and dashboards in AgentCore
- Monitoring performance and usage
- Practical lab: establishing a monitoring workflow
Best Practices and Future Trends
- Governance and compliance factors
- Enhancing usability and reliability
- Evolving trends in managed AI agents
Conclusion and Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles
- Acquaintance with cloud service architectures
- Exposure to application development processes
Target Audience
- Individuals with a passion for AI
- Product management professionals
- Generalist software developers
