LangChain Course
This course provides a comprehensive guide to building production-ready code QA systems using LangChain, covering everything from setup and data preprocessing to advanced retrieval and deployment techniques.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This LangChain Course teaches you to build reliable code QA systems from start to finish. You will learn how to select repositories, load documents, clean them, and split text smartly for code and documentation. Then, you will design embeddings and vector stores for quick and accurate retrieval. Finally, you will implement chains and agents, adjust prompts, manage hallucinations, and prepare project structures for testing, profiling, and deployment.
Elevify advantages
Develop skills
- Production-ready LangChain setup: configure local environments, APIs and secrets quickly.
- Smart code loaders and cleaners: preprocess repositories with robust LangChain tools.
- Precise chunking for code: tune splitters to preserve context and readability.
- High-accuracy code QA: design retrievers, prompts and chains that cite sources.
- Scalable vector search: pick embeddings and stores for reliable code retrieval.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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