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Course Outline
An Overview of Google AI Studio
- Key features and functionalities
- Comprehending workflow elements
- Exploring the Google AI model landscape
Architecting AI Workflows
- Structuring comprehensive workflows
- Selecting components for automation
- Handling inputs, outputs, and parameters
Integrating Models and Utilizing APIs
- Linking AI Studio with Google AI APIs
- Incorporating custom and third-party models
- Developing reusable components
Testing and Validation
- Formulating test scenarios
- Confirming workflow reliability
- Troubleshooting model interactions
Performance Optimization
- Boosting response speed and efficiency
- Managing resource allocation
- Scaling workflows for production environments
Security and Compliance
- Access control and user administration
- Data protection principles
- Ensuring secure API communication
Monitoring and Maintenance
- Tracking workflow performance
- Analytics and logging
- Lifecycle management for deployed workflows
Extending AI Studio Workflows
- Connecting with external tools
- Automation via cloud functions
- Enhancing capabilities using third-party services
Summary and Future Steps
Requirements
- Familiarity with AI model development processes
- Practical experience with cloud-based platforms
- Understanding of prompt engineering principles
Target Audience
- AI operations teams
- DevOps practitioners
- System administrators
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 3200 € + VAT*
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