Building RAG Agents with LLMs
NVIDIA DLI's Building RAG Agents with LLMs — self-paced course at $90 with hands-on GPU-backed labs and a completion certificate. Affordable GenAI training from a major AI company.
What this course teaches
- Build retrieval-augmented generation (RAG) agents
- Understand real-world RAG application patterns
- Utilize hands-on GPU-backed labs
- Earn a shareable NVIDIA DLI certificate
What's included
- $90 self-paced course with NVIDIA DLI certificate
- Hands-on labs on GPU-accelerated cloud servers
- Build retrieval-augmented generation agents
- Industry-leading content from NVIDIA experts
- Real-world RAG application patterns
- Earn shareable NVIDIA DLI certificate
Who should take Building RAG Agents with LLMs
The Building RAG Agents with LLMs course is ideal for developers with some deep learning and Python experience who want affordable, hands-on training in building RAG agents. It suits self-motivated learners, as it is a self-paced course of about 8 hours. However, those seeking structured guidance with instructor interaction might find the format lacking, as the course is entirely self-directed.
Pros and cons
- Low-cost self-paced format
- Hands-on labs provide practical experience
- Content developed by NVIDIA experts
- Completion certificate enhances credibility
- Limited to self-paced, no instructor interaction
- Focuses solely on building RAG agents
Common questions
What is the price of the course?
The course costs $90.
How long do I have access to the course?
It is a self-paced course estimated at 8 hours. The page does not state an access period.
Are there any prerequisites for taking this course?
Yes. NVIDIA lists introductory deep learning knowledge (comfort with PyTorch and transfer learning preferred) and intermediate Python experience.
Is there a score or performance guarantee?
The course does not mention a score guarantee.
Who is this course aimed at?
It is aimed at developers with introductory deep learning knowledge and intermediate Python skills.