Develop AI-Powered Prototypes in Google AI Studio

Overview

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

Syllabus

• 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

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Subjects

Computer Science