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Duration 14 hours
Course Outline
Foundations of Managed AI Agents
- Definition and scope of AgentCore
- Core features and available services
- Industry-specific application scenarios
Architecting Your Initial Agent
- Defining agent roles and objectives
- Configuring managed agent parameters
- Practical session: constructing a basic agent
Expanding Agent Capabilities with Memory and Tools
- Implementing persistence and context management
- Connecting external tools and APIs
- Practical session: augmenting agent functionalities
AgentCore Runtime and Gateway Fundamentals
- Overview of the runtime architecture
- Integrating the gateway with applications
- Practical session: linking an agent to an application
Releasing Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical session: releasing a fully managed agent
Oversight and Visibility
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical session: establishing a monitoring pipeline
Optimal Practices and Emerging Trends
- Governance and regulatory compliance
- Refining usability and system reliability
- Future trajectories in managed AI agents
Conclusions and Recommendations
Requirements
- Fundamental grasp of AI and machine learning principles
- Working knowledge of cloud platforms
- Experience with software development processes
Target Audience
- AI professionals
- Product managers
- Generalist developers
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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