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Duration 14 hours
Course Outline
Getting to Know Managed AI Agents
- Defining the AgentCore platform
- Exploring primary features and service offerings
- Examining diverse industry applications
Creating Your Initial Agent
- Defining the purpose and objectives of the agent
- Setting up parameters for the managed agent
- Practical session: Constructing a basic agent
Expanding Agent Intelligence with Memory and Tools
- Incorporating data persistence and contextual awareness
- Connecting external tools and API endpoints
- Practical session: Augmenting agent functions
Fundamentals of AgentCore Runtime and Gateway
- Overview of the runtime structural design
- Utilizing the Gateway for application connectivity
- Practical session: Linking an agent to a user-facing app
Releasing Managed Agents to Production
- Reviewing deployment pathways within AgentCore
- Addressing scalability and operational maintenance
- Practical session: Launching a complete managed agent
Oversight and Performance Tracking
- Leveraging AgentCore metrics and visual dashboards
- Monitoring system performance and resource consumption
- Practical session: Creating a performance monitoring routine
Professional Standards and Future Directions
- Navigating governance and regulatory compliance
- Enhancing user experience and system reliability
- Looking ahead at innovations in managed AI agents
Key Takeaways and Continuing Learning
Requirements
- Fundamental knowledge of AI and machine learning principles
- Working knowledge of cloud-based service architectures
- Experience with general application development processes
Target Learners
- Professionals interested in AI technology
- Product managers
- Generalist software developers
