Introduction to Gemini 2.0 Flash on Google Cloud with Vertex AI

Overview

Explore Gemini 2.0 Flash's capabilities through hands-on learning with the API and Google Gen AI SDK. Master text generation, multimodal processing, function calling, and advanced features like bidirectional streaming and image generation on Vertex AI.

Syllabus

• Overview of Gemini 2.0 Flash
Introduction to Gemini 2.0 Flash
Key features and capabilities
Integration with Google Cloud and Vertex AI
• Setting Up Your Environment
Creating a Google Cloud account
Setting up Vertex AI
Installing and configuring the Google Gen AI SDK
• Working with the Gemini 2.0 Flash API
Authenticating with the API
Understanding API endpoints and documentation
Making your first API call
• Text Generation Techniques
Basics of text generation with Gemini 2.0
Advanced text generation strategies
Use cases and applications
• Multimodal Processing
Introduction to multimodal inputs
Combining text and image data
Practical examples of multimodal processing
• Function Calling
Defining and using custom functions
Integrating function calling in workflows
Error handling and optimization
• Advanced Features
Implementing bidirectional streaming
Strategies for efficient data streaming
Case studies and real-world examples
• Image Generation on Vertex AI
Overview of image generation capabilities
Step-by-step image generation process
Optimizing for performance and quality
• Hands-On Projects
Building a text generation application
Creating a multimodal content pipeline
Developing a custom AI-powered tool
• Best Practices and Performance Optimization
Ensuring scalability and reliability
Cost management on Google Cloud
Security considerations
• Course Conclusion
Recap of key concepts
Additional resources for continued learning
Final project presentation and feedback

Subjects

Computer Science