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 Duration 14 hours

Course Outline

Introduction to Vertex AI for Mobile & Web Applications

  • Understanding Gemini's capabilities within applications
  • Integration pathways using Firebase and SDKs
  • Practical use cases for embedded AI

Establishing the Development Environment

  • Initiating and configuring Firebase projects
  • Installing and setting up Vertex AI SDKs
  • Practical lab: Environment configuration

Integrating Gemini into Applications

  • Invoking Gemini APIs from client-side applications
  • Incorporating text, image, and audio processing capabilities
  • Practical lab: Developing a Gemini-powered feature

Managing Multimodal Inputs

  • Capturing and processing user inputs (voice, images, text)
  • Designing interactive workflows with Gemini
  • Practical lab: Implementing multimodal input features

Application Deployment and Monitoring

  • Releasing AI-powered applications to production
  • Tracking performance and usage metrics via Firebase
  • Practical lab: Deploying and testing applications

Security and Compliance Strategies

  • Best practices for data management in AI features
  • Ensuring user privacy and consent within apps
  • Practical lab: Securing AI functionalities

Case Studies and Industry Best Practices

  • Examples of Gemini usage in consumer and enterprise applications
  • Key takeaways from real-world implementations
  • Strategies for scaling AI features effectively

Conclusion and Future Directions

Requirements

  • Foundational programming skills in JavaScript, Kotlin, or Swift
  • Working knowledge of mobile or web application development
  • Prior experience with Firebase or cloud-based SDKs

Target Audience

  • Mobile developers
  • Web developers
  • Product teams

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