NVIDIA · Course
Rapid Application Development with Large Language Models (LLMs) (self-paced)
Rapid Application Development with Large Language Models (LLMs) is a self-paced NVIDIA Deep Learning Institute course on starting to build LLM-based applications with the open-source ecosystem, from transformer fundamentals to model and agent orchestration.
Who it suits
- Developers who want to get started quickly on LLM-powered applications using pretrained models.
- Teams exploring uses such as customer-support assistants or sentiment analysis.
What it covers
- Finding, pulling in and experimenting with the Hugging Face model repository and Transformers API.
- Using encoder models for semantic analysis, embedding, question-answering and zero-shot classification.
- Working with conditioned decoder-style models to generate different formats, styles and modalities.
- Using LangChain to orchestrate data pipelines and environment-enabled agents.
Common questions about Rapid Application Development with Large Language Models (LLMs) (self-paced)
- What does it start from?
- NVIDIA says it starts with the fundamentals of transformers, moves to foundational large language models and finishes with model and agent orchestration.
- Does it cost anything?
- NVIDIA sells the self-paced course with Buy Now and Redeem Code options, and says online purchase is supported in select locations. Its page states the price, which changes, so check it.
- Which tools does it use?
- NVIDIA names the Hugging Face model repository and Transformers API, and LangChain.
More like this
Keep learning on Infrato
- Path: AI for software developers
- More from NVIDIA: all NVIDIA listings in the directory
- Explore all AI courses
Where this comes from
Written from NVIDIA’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with NVIDIA and this is not an endorsement.