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Duration 14 hours
Course Outline
Getting Started with Managed AI Agents
- Overview of AgentCore
- Essential features and service offerings
- Applications across various industries
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical lab: developing a basic agent
Augmenting Agents with Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical lab: broadening agent capabilities
Foundations of AgentCore Runtime and Gateway
- Insight into runtime architecture
- Integrating the Gateway for application connectivity
- Practical lab: linking an agent to an application
Launching Managed Agents
- Exploring deployment strategies within AgentCore
- Addressing scaling and operational needs
- Practical lab: releasing a fully managed agent
Monitoring and Visibility
- Utilizing AgentCore metrics and dashboards
- Monitoring performance and utilization rates
- Practical lab: constructing a monitoring pipeline
Best Practices and Industry Trends
- Considerations for governance and compliance
- Improving usability and system reliability
- Future trajectories in managed AI agents
Recap and Future Actions
Requirements
- Foundational knowledge of AI and machine learning principles
- Proficiency with cloud-based services
- Experience with application development processes
Target Learners
- Individuals interested in AI technologies
- Product managers
- Generalist software developers
