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

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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