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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- An overview of AgentCore
- Principal features and service offerings
- Industry-specific applications and use cases
Creating Your First Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: constructing a basic agent
Empowering Agents with Memory and Tools
- Incorporating data persistence and contextual awareness
- Connecting external tools and APIs
- Practical session: broadening agent functionality
Foundations of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Integrating the gateway with applications
- Practical session: linking an agent to a live app
Releasing Managed Agents
- Exploring deployment strategies within AgentCore
- Addressing scalability and operational needs
- Practical session: releasing a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Mining performance data and usage patterns
- Practical session: establishing a monitoring pipeline
Best Practices and Industry Trends
- Addressing governance and compliance standards
- Enhancing usability and system reliability
- Looking ahead: future advancements in managed AI agents
Wrap-up and Recommended Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles
- Working familiarity with cloud-based services
- Experience with standard application development processes
Target Audience
- Professionals interested in AI technologies
- Product managers
- Generalist software developers
