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Course Outline
Overview of Managed AI Agents
- Defining AgentCore
- Core features and available services
- Industrial applications and use cases
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: constructing a basic agent
Boosting Agents with Memory and Tools
- Incorporating data persistence and context
- Connecting tools and external APIs
- Practical session: expanding agent functionality
AgentCore Runtime and Gateway Essentials
- Overview of runtime architecture
- Gateway setup for application integration
- Practical session: linking an agent to an application
Releasing Managed Agents
- Available deployment pathways in AgentCore
- Considerations for scaling and operations
- Practical session: releasing a fully managed agent
Monitoring and Visibility
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and utilization
- Practical session: establishing a monitoring workflow
Best Practices and Emerging Trends
- Addressing governance and compliance
- Refining for user experience and system reliability
- Future developments in managed AI agents
Wrap-up and Forward-Looking Steps
Requirements
- Fundamental knowledge of AI and machine learning principles
- Working familiarity with cloud-based services
- Experience with application development processes
Target Audience
- Professionals with an interest in AI
- Product managers
- Generalist developers
14 Hours