Course Outline

Introduction to Google AI Studio

  • Overview of Google AI Studio and its key features
  • Exploring business use cases for AI integration
  • Understanding the integration process

Preparing for Integration

  • Setting up a Google Cloud environment
  • Exploring APIs and SDKs for Google AI Studio
  • Configuring business application platforms for integration

Connecting AI Studio with Business Applications

  • Establishing API connections
  • Authenticating and authorizing requests
  • Managing data flows between AI Studio and applications

Customizing AI Models for Business Needs

  • Training and deploying custom AI models
  • Using pre-trained models for specific tasks
  • Adjusting parameters for optimization

Implementing AI Workflows

  • Designing workflows with AI predictions
  • Triggering automated actions in business applications
  • Monitoring and managing AI-driven workflows

Troubleshooting and Optimization

  • Handling API errors and connectivity issues
  • Scaling integrations for high-volume environments
  • Ensuring data security and compliance

Case Studies and Best Practices

  • Reviewing real-world examples of AI integration
  • Applying lessons learned to new projects
  • Exploring future trends in AI and business integration

Summary and Next Steps

Requirements

  • Basic understanding of machine learning concepts
  • Experience with business application workflows
  • Familiarity with API integration and cloud services

Audience

  • IT managers
  • Business application developers
  • System integrators
 14 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 3200 € + VAT*

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