Merci d'avoir envoyé votre demande ! Un membre de notre équipe vous contactera sous peu.
Merci d'avoir envoyé votre réservation ! Un membre de notre équipe vous contactera sous peu.
Plan du cours
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
Pré requis
- 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 Heures