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 Duration 14 hours

Course Outline

Introduction to Vertex AI for Mobile & Web Applications

  • Exploring Gemini's capabilities within app ecosystems
  • Integration strategies with Firebase and SDKs
  • Practical use cases for embedded artificial intelligence

Preparing the Development Environment

  • Initializing and configuring Firebase projects
  • Installation and configuration of Vertex AI SDKs
  • Practical exercise: Setting up the development environment

Integrating Gemini into Applications

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

Managing Multimodal Inputs

  • Capturing and interpreting user inputs (voice, image, text)
  • Designing interactive workflows using Gemini
  • Practical exercise: Implementing a multimodal input feature

Application Deployment and Oversight

  • Releasing AI-enhanced applications to production
  • Tracking performance and usage metrics via Firebase
  • Practical exercise: Testing and deploying applications

Security and Compliance Frameworks

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

Case Studies and Industry Standards

  • Illustrations of Gemini in consumer and enterprise contexts
  • Insights derived from real-world deployments
  • Optimal practices for building scalable in-app AI features

Wrap-up and Future Directions

Requirements

  • Fundamental programming proficiency in JavaScript, Kotlin, or Swift
  • Working knowledge of mobile or web application development
  • Prior experience utilizing Firebase or cloud-based SDKs

Intended Audience

  • Mobile application developers
  • Web developers
  • Product teams

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