AI Workflow Automation with Google AI Studio

• Basic understanding of automation and AI concepts
• Experience with workflows and data integration

Audience

• Business analysts
• Automation specialists
• IT administrators

Google AI Studio is a powerful platform for automating workflows using AI-driven tools and models.

This instructor-led, live training (online or onsite) is aimed at intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging its tools to create, optimize, and manage efficient automated processes.

By the end of this training, participants will be able to:

• Understand the core features of Google AI Studio for workflow automation.
• Set up and integrate Google AI Studio with other tools.
• Design and execute AI-driven workflows.
• Implement conditional logic for smarter automation.
• Monitor and optimize automated workflows for efficiency.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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