Building RAG Agents with LLMs
Build and evaluate a RAG agent that answers questions about a set of research papers, using LangChain pipelines, embeddings, and vector stores. Paid ($90), with an assessment and certificate at the end. It assumes intermediate Python and some deep learning.
Go to the course on NVIDIA Deep Learning Institute- Provider
- NVIDIA Deep Learning Institute
- Price
- Paid
- Certificate
- Paid certificateThe paid course ends with an assessment and certification.
- Level
- Intermediate
- Time
- 8 hours
- Format
- Self-paced course with a hands-on environment and a final assessment for certification
- Checked
- 2026-11-05
$90 when checked. Online purchase is only supported in some locations.
01
What you will learn.
- 01RAG agents
- 02LangChain
- 03LangServe and Gradio
- 04Dialog management
- 05Embeddings
- 06Vector stores
- 07Guardrails
More inAI agents coursesLangChain & LangGraph coursesRAG courses
02
Before you enroll.
From the course page, checked 2026-11-05.
- You need
- Introductory deep learning; comfort with PyTorch and transfer learning preferred
- Intermediate Python, including object-oriented programming and libraries
- What you build
- A RAG agent that answers questions about the research papers in its dataset
03
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