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Course Outline
Introduction to Vertex AI for Mobile & Web Applications
- Overview of Gemini capabilities within applications
- Integration pathways for Firebase and SDKs
- Use cases for embedded AI
Setting Up the Development Environment
- Firebase project setup and configuration
- Installation and configuration of Vertex AI SDKs
- Hands-on lab: Environment setup
Embedding Gemini into Applications
- Invoking Gemini APIs from client applications
- Integrating text, image, and audio functionalities
- Hands-on lab: Building a Gemini-powered feature
Handling Multimodal Inputs
- Capturing and processing user input (voice, image, text)
- Creating interactive application workflows with Gemini
- Hands-on lab: Implementing a multimodal input feature
Application Deployment and Monitoring
- Deploying AI-enabled applications to production
- Monitoring performance and usage metrics with Firebase
- Hands-on lab: Deploying and testing applications
Security and Compliance Considerations
- Best practices for data handling in AI features
- User privacy and consent management in applications
- Hands-on lab: Securing an AI feature
Case Studies and Best Practices
- Examples of Gemini integration in consumer and enterprise applications
- Insights and lessons learned from real-world implementations
- Best practices for scaling AI features within applications
Summary and Next Steps
Requirements
- Fundamental programming knowledge in JavaScript, Kotlin, or Swift
- Familiarity with mobile or web application development
- Prior experience using Firebase or cloud SDKs
Audience
- Mobile developers
- Web developers
- Product teams
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.
Price per private group, online live training, starting from 2600 € + VAT*
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