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Building Multimodal RAG Applications with Google Gemini

Discover the evolution, architecture, and APIs of Google Gemini. Delve into hands-on exercises, mastering RAG applications, and develop a customer service assistant using multimodal prompting with image and text prompts.

Intermediate

14 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project

14 Playgrounds

Course Overview

What You'll Learn

Course Content

Recommendations

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

This course will introduce you to Google Gemini, a family of multimodal large language models developed by Google. You’ll start...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

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

Course Content

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

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

1 Lessons

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

Conclusion

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