Google Gemini for Developers (2024)

1h 16mIntermediate2024-02-16

Authors

Lynn Langit

Cloud Architect

Course details

Google Gemini is a new family of multimodal large language models that works seamlessly across image, video, audio, and code. In this course, instructor Lynn Langit shows you how to get started using the design patterns, tools, and features of Google Gemini following the best practices for building LLM-based applications.

Explore the capabilities of Google Gemini starting with Google AI Studio, before diving into the development, testing, and deployment of even larger, more complex models. Along the way, Lynn shows you how to use Gemini notebooks in GCP Vertex AI Studio and Gemini applications on GCP. Upon completing this course, you’ll be ready to take your career to the next level as an ML-savvy DevOps professional.

Skills covered

GeminiGoogle Cloud PlatformIntroduction toAI Productivity ToolsGenerative AIGoogleArtificial Intelligence (AI)Business Software and Tools

Concepts

Introduction

What is Google Gemini
What you should know
About using cloud services

Hello Gemini

Review Google Gemini
Use Google AI Studio
Use Colab notebooks
Use Project IDX

Gemini Prompts in Google AI Studio

Understand Google AI Studio
Design and test language model prompts
Test prompts with model generative output
Design and test multimodel prompts

Gemini Notebooks in GCP Vertex AI Studio

Review Gemini in GCP Vertex AI
Use Vertex AI Jupyter Notebooks
Review safety ratings notebook
Review function calling notebook
Use RAG pattern, part one
Use RAG pattern, part two

Gemini Applications on GCP

Set up education application
Set up an online prediction application for retail
Use Vertex AI Model Garden
Looking forward - Gemini Ultra

Conclusion

Next steps