Building Multimodal RAG Applications with Google Gemini

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

3h

Certificate of Completion

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.

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

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Course Content

1.

Getting Started

Get familiar with Google Gemini's multimodal AI, APIs, and advanced capabilities.
2.

Content Generation Using Gemini Models

Grasp the fundamentals of using Gemini models for versatile content generation across text and images.
3.

Building RAG Applications with Google Gemini

Examine creating sophisticated customer service applications using Retrieval-Augmented Generation and multimodal capabilities with Google Gemini.
4.

Wrapping Up

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

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Evan Dunbar

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Carlos Matias La Borde

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Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

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Kenan Eyvazov

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Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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