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 Duration 14 hours

Course Outline

Introduction to Vertex AI for Mobile & Web Applications

  • Overview of Gemini's capabilities within app contexts
  • Integration pathways for Firebase and SDKs
  • Practical use cases for embedded AI

Establishing the Development Environment

  • Firebase project initiation and configuration
  • Installation and setup of Vertex AI SDKs
  • Practical exercise: Environment configuration

Integrating Gemini into Applications

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

Managing Multimodal Inputs

  • Capturing and processing user inputs (voice, image, text)
  • Designing interactive app workflows with Gemini
  • Practical exercise: Implementing multimodal input handling

Deployment and Monitoring of Applications

  • Releasing AI-enhanced apps to production environments
  • Tracking performance and usage metrics via Firebase
  • Practical exercise: Deploying and testing applications

Security and Compliance Frameworks

  • Best practices for data management in AI features
  • Ensuring user privacy and consent within apps
  • Practical exercise: Securing an AI feature

Case Studies and Industry Best Practices

  • Real-world examples of Gemini in consumer and enterprise solutions
  • Key insights from practical implementations
  • Strategies for scaling AI features within applications

Conclusion and Future Directions

Requirements

  • Fundamental 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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