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Building Multimodal RAG Applications with Google Gemini

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.

4.3

14 Lessons

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LEARNING OBJECTIVES

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

Learning Roadmap

14 Lessons1 Project1 Quiz

Getting Started

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

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.

Customer Service Assistant—Multimodal RAG Interface

Project

Wrapping Up

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.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

ABOUT THIS COURSE

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.

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