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Course Outline
Getting Started with Managed AI Agents
- An overview of what AgentCore offers
- Core features and associated services
- Industry-specific application scenarios
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical exercise: constructing a basic agent
Augmenting Agents with Memory and Tools
- Implementing persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: broadening agent functions
Foundations of AgentCore Runtime and Gateway
- Reviewing the runtime architecture
- Integrating the gateway for application connectivity
- Practical exercise: linking an agent to an application
Releasing Managed Agents
- Exploring deployment pathways within AgentCore
- Addressing scaling and operational requirements
- Practical exercise: launching a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance metrics and usage patterns
- Practical exercise: establishing a monitoring routine
Best Practices and Emerging Trends
- Considerations for governance and compliance
- Enhancing usability and system reliability
- Future developments in managed AI agents
Wrap-Up and Subsequent Steps
Requirements
- Foundational knowledge of AI and machine learning principles
- Knowledge of cloud-based service ecosystems
- Exposure to standard application development processes
Intended Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours