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Course Outline
Getting Started with Managed AI Agents
- An overview of AgentCore
- Essential features and service offerings
- Industry-wide application examples
Architecting Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: creating 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
AgentCore Runtime and Gateway Fundamentals
- Understanding the runtime architecture
- Integrating gateways for application support
- Practical session: linking an agent to an application
Deploying Managed Agents
- Reviewing deployment strategies within AgentCore
- Addressing scaling and operational needs
- Practical session: launching a fully managed agent
Oversight and Observability
- Utilizing metrics and dashboards in AgentCore
- Moving performance and usage tracking
- Practical session: establishing a monitoring workflow
Best Practices and Emerging Trends
- Considering governance and compliance requirements
- Focusing on usability and system reliability
- Exploring future directions in managed AI agents
Recap and Path Forward
Requirements
- A foundational grasp of AI and machine learning principles
- Knowledge of cloud service architectures
- Experience with application development processes
Target Audience
- AI professionals and enthusiasts
- Product managers
- Generalist developers
14 Hours