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Course Outline
Introduction to Google AI Studio
- Overview of Google AI Studio and its capabilities
- Setting up a workspace and exploring the interface
- Understanding AI project workflows in Google AI Studio
Data Preparation and Management
- Importing and preprocessing datasets
- Exploring data visualization tools
- Ensuring data quality for AI projects
Model Training and Optimization
- Using AutoML for quick model development
- Custom model training with TensorFlow and PyTorch
- Hyperparameter tuning and performance optimization
Model Deployment and Scaling
- Deploying models as REST APIs
- Integrating models with Google Cloud infrastructure
- Scaling AI services for production use
Leveraging Advanced Features
- Implementing Explainable AI (XAI) practices
- Utilizing Google AI APIs for vision, language, and more
- Exploring pre-trained models and transfer learning
Monitoring and Troubleshooting
- Monitoring deployed models for performance
- Analyzing model predictions and feedback
- Troubleshooting common issues in AI workflows
Real-World Applications
- Case studies of AI solutions powered by Google AI Studio
- Building a complete AI project from start to finish
Summary and Next Steps
Requirements
- Strong understanding of machine learning concepts and frameworks
- Experience with Python programming
- Familiarity with Google Cloud services is recommended
Audience
- AI developers
- Machine learning engineers
- Data scientists
21 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 €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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