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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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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