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.
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This course includes
This course includes
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...
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
Getting Started
Content Generation Using Gemini Models
Building RAG Applications with Google Gemini
Wrapping Up
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Anthony Walker
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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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Souvik Kundu
Front-end Developer
Eric Downs
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Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
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