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Duration 14 hours
Course Outline
Foundations of Managed AI Agents
- An introduction to AgentCore
- Overview of core features and services
- Industry-specific application scenarios
Architecting Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical session: constructing a basic agent
Expanding Agent Capabilities with Memory and Tools
- Implementing persistence and contextual awareness
- Connecting external tools and APIs
- Practical session: broadening agent functionality
Essentials of AgentCore Runtime and Gateway
- Understanding the runtime architecture
- Integrating the gateway for application interaction
- Practical session: linking an agent to an application
Deploying Managed Agents
- Exploring deployment strategies within AgentCore
- Addressing scalability and operational needs
- Practical session: launching a fully managed agent
Observability and Performance Monitoring
- Utilizing metrics and dashboards in AgentCore
- Monitoring system performance and usage patterns
- Practical session: creating a monitoring pipeline
Best Practices and Industry Trends
- Considerations for governance and compliance
- Strategies for enhancing usability and dependability
- Future trajectories in managed AI agents
Recap and Path Forward
Requirements
- A foundational grasp of AI and machine learning principles
- Working knowledge of cloud-based services
- Experience with application development processes
Target Audience
- Enthusiasts exploring AI technologies
- Product managers
- Generalist software developers
