Building Multimodal RAG Applications with Google Gemini

This course explains how to use Google Gemini in real-world applications and provides practical knowledge for accessing and utilizing its capabilities.

Intermediate

14 Lessons

Certificate of Completion

This course explains how to use Google Gemini in real-world applications and provides practical knowledge for accessing and utilizing its capabilities.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project

14 Playgrounds

This course includes

1 Project

14 Playgrounds

Course Overview

This course will introduce you to Google Gemini, a family of multimodal large language models developed by Google. You’ll start with learning about LLMs, the evolution of Google Gemini, its architecture and APIs, and its diverse capabilities. Next, you’ll complete hands-on exercises using Gemini models for unimodal and multimodal text generation. You’ll understand the retrieval augmented-generation (RAG) process using Gemini and LangChain. You’ll implement an RAG application for generating textual response...Show More

What You'll Learn

Basic understanding of the capabilities of Google Gemini and how to access it using Gemini APIs

Hands-on experience in unimodal text generation for text and image prompts using Gemini models

Hands-on experience in text generation with multimodal prompts using Gemini models

The ability to build a RAG application for text-only and image-only prompts using Google Gemini

The ability to implement a complete RAG application for multimodal prompts using Google Gemini

What You'll Learn

Basic understanding of the capabilities of Google Gemini and how to access it using Gemini APIs

Course Content

Getting Started

What This Course Is About?

Getting Started with Google Gemini

Google Gemini APIs Capabilities of Google Gemini

Content Generation Using Gemini Models

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

Understanding Retrieval-Augmented Generation Introduction to LangChain Customer Service Assistant: Using RAG with Text Prompts Customer Service Assistant: Using RAG with Image Prompts Customer Service Assistant Application

Customer Service Assistant—Multimodal RAG Interface

Project

Wrapping Up

Conclusion

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