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Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Essential features and service offerings
- Industry-wide use cases
Architecting Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical lab: constructing a basic agent
Augmenting Agents via Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting tools and APIs
- Practical lab: expanding agent functionalities
Foundations of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Integrating gateways for application connectivity
- Practical lab: linking an agent to an application
Implementing Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical lab: deploying a fully managed agent
Monitoring and Observability
- Utilizing AgentCore metrics and dashboards
- Monitoring performance and utilization
- Practical lab: establishing a monitoring workflow
Best Practices and Emerging Trends
- Addressing governance and compliance needs
- Enhancing usability and reliability
- Future trajectories in managed AI agents
Wrap-up and Recommended Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Awareness of cloud service ecosystems
- Experience with application development processes
Target Audience
- AI aficionados
- Product managers
- Generalist developers
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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