HomeCoursesBuilding Multimodal RAG Applications with Google Gemini

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Building Multimodal RAG Applications with Google Gemini
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Explore RAG with Google Gemini. Learn its architecture, APIs, and capabilities. Build hands-on applications, integrate LangChain, and create a customer service assistant with multimodal AI prompts.

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Unlock the power of RAG with Google Gemini in this hands-on course. Learn about Google Gemini, a family of multimodal large language models (LLMs), and its cutting-edge applications developed by Google. Explore Gemini’s evolution, architecture, and APIs to understand its unimodal and multimodal AI content generation capabilities. Dive into retrieval-augmented generation (RAG) techniques using Gemini and LangChain. Implement RAG applications to generate text and image responses from external knowledge sources and provide prompts. In the final project, create a customer service assistant application with a Streamlit interface, integrating Gemini’s multimodal AI capabilities for image-to-text and text-to-text prompts. After completing this course, you’ll have the expertise to build real-world RAG applications with Google Gemini.

Unlock the power of RAG with Google Gemini in this hands-on course. Learn about Google Gemini, a family of multimodal large lang...Show More

WHAT YOU'LL LEARN

An understanding of the basics of Google Gemini, its architecture, APIs, and multimodal capabilities

The ability to build applications using text-to-text, image-to-text, and multimodal prompts

Hands-on experience implementing retrieval-augmented generation (RAG) with Gemini for textual and image-based queries

The ability to leverage LangChain for advanced RAG workflows with external knowledge sources

Hands-on experience creating a customer service assistant integrating multimodal RAG and Google Gemini in Streamlit

An understanding of the basics of Google Gemini, its architecture, APIs, and multimodal capabilities

Content

14 Lessons1 Project1 Quiz

Getting Started

4 Lessons

Get familiar with Google Gemini's multimodal AI, APIs, and advanced capabilities.

What This Course Is About?

Getting Started with Google Gemini

Google Gemini APIs

Capabilities of Google Gemini

Content Generation Using Gemini Models

4 Lessons

Grasp the fundamentals of using Gemini models for versatile content generation across text and images.

Text-to-Text Generation

Image-to-Text Generation

Text and Image-to-Text Generation

Quiz: Basics of Google Gemini

Building RAG Applications with Google Gemini

5 Lessons

Examine creating sophisticated customer service applications using Retrieval-Augmented Generation and multimodal capabilities with Google Gemini.

Understanding Retrieval-Augmented Generation

Introduction to LangChain

Creating a RAG Application for Text Prompts

Creating a RAG Application for Image Prompts

Customer Service Assistant Application

Customer Service Assistant—Multimodal RAG Interface

Project

Wrapping Up

1 Lessons

Find out about the completion of the AI course and future advancements in Google Gemini.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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