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Course Outline
Introduction to Google AI Studio
- Overview of AI-driven workflow automation
- Features and capabilities of Google AI Studio
- Introduction to AI models and their role in automation
Setting Up Google AI Studio
- Creating and managing an account
- Integrating with Google Workspace and third-party tools
- Understanding permissions and security considerations
Designing AI-Driven Workflows
- Building workflows using Google AI Studio's visual interface
- Implementing conditional logic for dynamic automation
- Using AI models to enhance decision-making
Advanced Workflow Customization
- Integrating multiple data sources
- Creating custom rules and triggers
- Managing errors and exceptions in workflows
Monitoring and Optimization
- Tracking performance and analyzing workflow efficiency
- Optimizing workflows for scalability
- Ensuring data accuracy and consistency
Final Project
- Designing a comprehensive workflow for a real-world scenario
- Testing and deploying the workflow
- Presenting the solution to peers and instructors
Summary and Next Steps
Requirements
- Basic understanding of automation and AI concepts
- Experience with workflows and data integration
Audience
- Business analysts
- Automation specialists
- IT administrators
14 Hours
Testimonials (1)
There were many practical exercises supervised and assisted by the trainer
