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Course Outline
Introduction to Google AI Studio
- Overview of AI and its practical applications
- Google AI Studio’s capabilities and interface
- Understanding the workflow for building AI models
Data Preparation and Model Building
- Importing and preparing datasets
- Using pre-built templates for common AI use cases
- Training AI models with user-friendly tools
Model Evaluation and Optimization
- Testing and evaluating model performance
- Adjusting parameters for better accuracy
- Interpreting results and making improvements
Deploying AI Models
- Exporting models for integration into business workflows
- Using AI models to automate decision-making
- Case studies of successful AI deployments
Collaborating and Sharing AI Solutions
- Sharing projects with team members
- Collaborating on AI workflows
- Ensuring data security and compliance
Future Trends and Opportunities in AI
- Exploring advanced AI features in Google AI Studio
- AI trends shaping industries
- Next steps for learning and development
Summary and Next Steps
Requirements
- Basic familiarity with spreadsheets or simple data manipulation
- No prior coding or AI experience required
Audience
- Data analysts
- Non-technical business users
- Product managers
14 Hours
