Intermediate
3h
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.
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 sources and provide prompts.
In the final project, create a customer service assistant application with a Streamlit interface, integrating Gemini’s multimodal AI capabilities for image-to-text and text-to-text prompts. After completing this course, you’ll have the expertise to build real-world RAG applications with Google Gemini.
Unlock the power of RAG with Google Gemini in this hands-on course. Learn about Google Gemini, a family of multimodal large lang...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
An understanding of the basics of Google Gemini, its architecture, APIs, and multimodal capabilities
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Content
1.
Getting Started
4 Lessons
Get familiar with Google Gemini's multimodal AI, APIs, and advanced capabilities.
2.
Content Generation Using Gemini Models
4 Lessons
Grasp the fundamentals of using Gemini models for versatile content generation across text and images.
3.
Building RAG Applications with Google Gemini
5 Lessons
Examine creating sophisticated customer service applications using Retrieval-Augmented Generation and multimodal capabilities with Google Gemini.
Certificate of Completion
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