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Course Outline
Overview of Google AI Studio
- Key features and functionalities
- Comprehension of workflow elements
- Exploration of the Google AI model ecosystem
Architecting AI Workflows
- Organizing end-to-end 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 Verification
- Formulating test scenarios
- Confirming workflow reliability
- Troubleshooting model interactions
Optimizing Performance
- Enhancing response speed and efficiency
- Oversight of resource utilization
- Expanding workflows for production environments
Security and Compliance
- User management and access control
- Principles of data protection
- Ensuring secure communication via APIs
Monitoring and Maintenance
- Oversight of workflow performance
- Logging and analytical insights
- Managing the lifecycle of deployed workflows
Expanding AI Studio Workflows
- Incorporating external tools
- Automation through cloud functions
- Boosting functionality via third-party services
Summary and Future Actions
Requirements
- Knowledge of AI model development processes
- Background working with cloud-based tools or platforms
- Understanding of prompt engineering principles
Target Audience
- Teams managing AI operations
- DevOps specialists
- 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 2600 € + VAT*
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