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Duration 14 hours
Course Outline
Fundamentals of Managed AI Agents
- An introduction to AgentCore
- Overview of key features and service offerings
- Industry-specific application examples
Creating Your Initial Agent
- Defining agent objectives and roles
- Setting up managed agent parameters
- Practical session: Constructing a basic agent
Enhancing Agent Capabilities with Memory and Tools
- Implementing persistence and context awareness
- Connecting external tools and APIs
- Practical session: Expanding agent functionalities
Basics of AgentCore Runtime and Gateway
- High-level view of the runtime architecture
- Integrating the gateway with applications
- Practical session: Linking an agent to an application
Rolling Out Managed Agents
- Exploring deployment strategies within AgentCore
- Addressing scalability and operational needs
- Practical session: Deploying a fully managed agent
Monitoring and System Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance indicators and usage patterns
- Practical session: Creating a monitoring workflow
Best Practices and Industry Trends
- Addressing governance and compliance requirements
- Improving usability and system reliability
- Future outlooks in the domain of managed AI agents
Wrap-Up and Recommended Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Basic knowledge of cloud service ecosystems
- Experience with standard application development processes
Target Audience
- AI technology enthusiasts
- Product managers
- Generalist software developers
