Augment your LLM Using Retrieval Augmented Generation

About this course

Retrieval Augmented Generation (RAG) is transforming how AI applications work with information. This free NVIDIA DLI course teaches you the fundamentals of RAG—what it is, when to use it, and how to implement it—in just one hour. You'll learn directly from NVIDIA, the company behind the GPU technology powering modern AI, making this an authoritative introduction to a technique that's reshaping AI development worldwide.

What you'll learn

• What Retrieval Augmented Generation is and how it differs from standard LLM approaches
• Why RAG matters: when to use it versus other AI techniques for real-world problems
• How RAG works under the hood—the core mechanics of retrieval and generation
• Practical use cases where RAG improves AI system accuracy and relevance
• How RAG reduces hallucinations and keeps AI responses grounded in real data
• The role of vector databases and embeddings in retrieval systems
• How to think about RAG when building your own AI applications

Who this is for

This course is designed for anyone curious about how modern AI systems work—whether you're completely new to AI or have some familiarity with large language models. You don't need a computer science degree or advanced math background. If you've heard about AI chatbots and want to understand the technology behind smarter, more accurate AI, this is for you.

• Students — build AI literacy that employers value, with hands-on knowledge of a technique central to modern AI engineering
• Career changers — gain practical understanding of RAG to pivot toward AI roles without starting from zero
• Developers — learn when and how to integrate RAG into applications you're building
• Product managers — understand the capabilities and limitations of RAG-powered features you're planning
• Entrepreneurs — see how RAG enables new AI product ideas and competitive advantages

Prerequisites

None — this course is beginner-friendly. You don't need prior coding experience, machine learning knowledge, or familiarity with large language models. Just bring curiosity and an hour of your time.

Why this matters for Indian learners

RAG is reshaping AI hiring in India. Companies like Flipkart, Infosys, TCS, and Indian AI startups are building RAG systems for customer service, content generation, and decision-making tools. Learning RAG now—directly from NVIDIA—gives you a significant edge in job interviews and contract opportunities, especially as AI roles in India increasingly demand hands-on knowledge of advanced techniques, not just theory.

India's tech sector is racing to adopt AI, and salaries for AI engineers with specialization in advanced techniques like RAG are commanding premiums. This free course is a low-risk way to test your interest and build credentials that directly matter for roles in Bangalore, Hyderabad, and beyond.

Frequently asked questions

Is this course really free?

Yes. NVIDIA offers this course completely free—no hidden fees, no paid upgrades required. You get the full learning experience at no cost.

How long will it take to complete?

The course is designed to take about 1 hour. You can complete it in one sitting, or spread it across a week at your own pace. Either way, it's a quick, focused deep dive into RAG fundamentals.

Will I get a certificate?

Yes. You'll earn a certificate of completion from NVIDIA when you finish, which you can add to your LinkedIn and resume as proof of your RAG knowledge.