Programa del Curso

Introduction to Vertex AI for Mobile & Web Apps

  • Overview of Gemini capabilities in apps
  • Firebase and SDK integration pathways
  • Use cases for embedded AI

Setting Up the Development Environment

  • Firebase project setup and configuration
  • Installing and configuring Vertex AI SDKs
  • Hands-on lab: environment setup

Embedding Gemini into Applications

  • Calling Gemini APIs from client apps
  • Integrating text, image, and audio capabilities
  • Hands-on lab: building a Gemini-powered feature

Multimodal Input Handling

  • Capturing and processing user input (voice, image, text)
  • Creating interactive app workflows with Gemini
  • Hands-on lab: multimodal input feature

App Deployment and Monitoring

  • Deploying AI-powered apps to production
  • Monitoring performance and usage with Firebase
  • Hands-on lab: deploying and testing apps

Security and Compliance Considerations

  • Data handling best practices for AI features
  • User privacy and consent in apps
  • Hands-on lab: securing an AI feature

Case Studies and Best Practices

  • Examples of Gemini in consumer and enterprise apps
  • Lessons learned from real-world implementations
  • Best practices for scalable AI features in apps

Summary and Next Steps

Requerimientos

  • Basic programming knowledge in JavaScript, Kotlin, or Swift
  • Familiarity with mobile or web app development
  • Experience using Firebase or cloud SDKs

Audience

  • Mobile developers
  • Web developers
  • Product teams
 14 Horas

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