This is a self-paced lab that takes place in the Google Cloud console. Learn how to create an interactive application within a deployed environment.
Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
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Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
Instructor: Google Cloud Training
Included with
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
Tools you'll use
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
91%
of learners achieved a positive career outcome
See how employees at top companies are mastering in-demand skills
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
Offered by
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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