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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- An overview of AgentCore.
- Primary features and available services.
- Real-world applications across various sectors.
Designing Your Initial Agent
- Defining agent roles and objectives.
- Setting up managed agent configurations.
- Practical session: Constructing a basic agent.
Enhancing Agents via Memory and Tools
- Incorporating data persistence and contextual awareness.
- Connecting tools and external APIs.
- Practical session: Expanding agent functionalities.
Fundamentals of AgentCore Runtime and Gateway
- High-level view of runtime architecture.
- Integrating the gateway for application connectivity.
- Practical session: Linking an agent to an application.
Deploying Managed Agents
- Available deployment pathways in AgentCore.
- Scalability and operational factors.
- Practical session: Rolling out a fully managed agent.
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore.
- Monitoring performance indicators and usage patterns.
- Practical session: Developing a monitoring workflow.
Best Practices and Future Directions
- Governance and regulatory compliance aspects.
- Strategies for improving usability and reliability.
- Emerging trends in the managed AI agent landscape.
Recap and Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles.
- Acquaintance with cloud service platforms.
- Basic experience with application development processes.
Target Audience
- Individuals passionate about AI technology.
- Product managers.
- Generalist software 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 3200 € + VAT*
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