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 Duration 14 hours

Course Outline

Introduction to Vertex AI for Mobile & Web Applications

  • Exploring Gemini's capabilities within applications
  • Integration strategies using Firebase and SDKs
  • Key use cases for embedded AI

Establishing the Development Environment

  • Initial Firebase project setup and configuration
  • Installation and configuration of Vertex AI SDKs
  • Practical session: Setting up the development environment

Integrating Gemini into Applications

  • Invoking Gemini APIs from client-side applications
  • Blending text, image, and audio capabilities
  • Practical session: Developing a Gemini-driven feature

Managing Multimodal Inputs

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

Application Deployment and Monitoring

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

Security and Compliance Essentials

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

Case Studies and Industry Best Practices

  • Real-world examples of Gemini in consumer and enterprise apps
  • Insights from successful live implementations
  • Strategies for building scalable AI features in apps

Wrap-up and Future Directions

Requirements

  • Fundamental programming proficiency in JavaScript, Kotlin, or Swift
  • General knowledge of mobile or web application development
  • Practical experience with Firebase or cloud-based SDKs

Target Audience

  • Mobile application developers
  • Web developers
  • Product management teams

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Provisional Upcoming Courses (Require 5+ participants)

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