Google Cloud
Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
Google Cloud

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

Google Cloud Training

Instructor: Google Cloud Training

Access provided by Instituto Tecnologico de Chihuahua II

Build in-demand job skills with step-by-step instructions
Beginner level
No prior experience required
60 minutes
Learn at your own pace
Hands-on learning
Build in-demand job skills with step-by-step instructions
Beginner level
No prior experience required
60 minutes
Learn at your own pace
Hands-on learning

What you'll learn

  • How LLMs process language and how RAG enhances their capabilities by retrieving relevant information from a knowledge base.

  • Set up and interact with AlloyDB, a scalable and performant PostgreSQL database designed for demanding workloads.

  • Explore LangChain's tools and components for building LLM-powered applications, including document loaders, prompt templates, and chains.

Skills you'll practice

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
No downloads or installation required

Only available on desktop

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks

About this project

Instructor

Google Cloud Training
Google Cloud
1,977 Courses3,619,340 learners

Offered by

Google Cloud

How you'll learn

  • Hands-on, project-based learning

    Practice new skills by completing job-related tasks with step-by-step instructions.

  • No downloads or installation required

    Access the tools and resources you need in a cloud environment.

  • Available only on desktop

    This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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