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Duration 14 hours
Course Outline
Introduction to Google AI Studio
- Essential features and capabilities
- Comprehending workflow components
- Discovering the Google AI model ecosystem
Designing AI Workflows
- Structuring end-to-end workflows
- Selecting components for automation
- Handling inputs, outputs, and parameters
Model Integration and API Usage
- Linking AI Studio with Google AI APIs
- Incorporating custom and third-party models
- Developing reusable components
Testing and Validation
- Developing test scenarios
- Verifying workflow reliability
- Troubleshooting model interactions
Performance Optimization
- Enhancing response speed and efficiency
- Regulating resource usage
- Scaling workflows for production environments
Security and Compliance
- Access control and user management
- Principles of data protection
- Safeguarding API communication
Monitoring and Maintenance
- Tracking workflow performance
- Logging and analytics
- Managing the lifecycle of deployed workflows
Extending AI Studio Workflows
- Connecting with external tools
- Automation via cloud functions
- Augmenting functionality through third-party services
Summary and Next Steps
Requirements
- A solid grasp of AI model development workflows
- Proficiency with cloud-based tools or platforms
- Knowledge of prompt engineering concepts
Target Audience
- AI operations teams
- DevOps professionals
- System administrators
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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