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.

Intermediate

14 Lessons

Certificate of Completion

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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project

14 Playgrounds

This course includes

1 Project

14 Playgrounds

Course Overview

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 sourc...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

What You'll Learn

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

Course Content

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

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

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

Conclusion

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