Was Sie vorher wissen sollten
bevor Sie beginnen

Beginnt 4 June 2026 07:05

Endet 4 June 2026

00 Tage
00 Stunden
00 Minuten
00 Sekunden
course image

Develop AI-Powered Prototypes in Google AI Studio

Discover how to craft effective prompts, analyze images/videos, and build functional AI applications using Google AI Studio's multimodal capabilities and API integration.
Google via Google Cloud Skills Boost

Google

36 Kurse


1 hour 15 minutes

Optionales Upgrade verfügbar

Not Specified

Lernen Sie in Ihrem eigenen Tempo

Paid Course

Optionales Upgrade verfügbar

Übersicht

Discover how to craft effective prompts, analyze images/videos, and build functional AI applications using Google AI Studio's multimodal capabilities and API integration.

Lehrplan

  • Introduction to Google AI Studio
  • Overview of Google AI Studio features
    Setting up your Google AI Studio environment
  • Crafting Effective Prompts
  • Understanding prompt fundamentals
    Techniques for prompt engineering
    Using feedback to refine prompts
  • Multimodal Capabilities in Google AI Studio
  • Exploring text, image, and video analysis
    Leveraging multimodal integration
    Case studies of multimodal AI applications
  • Analyzing Images and Videos
  • Techniques for image recognition and classification
    Video analysis tools and methods
    Hands-on projects with real-time data
  • Building Functional AI Applications
  • Designing user interfaces for AI applications
    Incorporating AI models into applications
    Testing and iterating AI prototypes
  • API Integration with Google AI Studio
  • Understanding Google AI Studio's API capabilities
    Connecting external data sources
    Automating workflows with AI and API interactivity
  • Advanced Topics and Best Practices
  • Ensuring ethical AI usage
    Performance optimization for AI applications
    Deployment strategies for scalable AI solutions
  • Capstone Project
  • Planning and proposing a prototype project
    Developing and presenting an AI-powered application prototype
    Peer review and feedback session

Fachgebiete

Computer Science