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Understanding the Basics of RAG
New
8 students

Understanding the Basics of RAG

Towards Excellence
Last updated 9/2026
English

What you'll learn

  • What is RAG and why does it matter?
  • How Retrieval-Augmented Generation works
  • Key components of a RAG system
  • RAG vs. traditional Generative AI

Course content

1 section9 lectures43m total length
  • Introduction0:51
  • What is RAG?2:13
  • How RAG Works -Step by Step3:58
  • Why RAG Matters2:28
  • Building a RAG System4:39
  • Common Misconceptions5:31
  • Further Reading and Next Steps1:24
  • Making the difference15:00
  • Conclusion7:02

Requirements

  • A passion to learn and explore opportunities for self improvement.

Description

Udemy Course: Understanding the Basics of RAG

Discover the fundamentals of Retrieval-Augmented Generation (RAG) and explore how this powerful approach is transforming the way we use Generative AI. RAG connects AI models with relevant, trusted information, enabling them to deliver responses that are more contextual, useful, and aligned with specific knowledge sources.

This beginner-friendly course provides a clear introduction to RAG, its architecture and its practical relevance. You will explore what RAG is, why it matters, and how retrieval and generation work together.

The course covers the key components of a RAG system, the differences between RAG and traditional Generative AI, and a range of real-world applications. It also highlights RAG's growing potential in education, knowledge management, and organisational learning.

Whether you are an educator, school leader, technology professional or AI enthusiast, this course offers a practical foundation for understanding an increasingly important AI architecture.

Learn the basics. Understand the architecture. Explore the possibilities. Discover how RAG can make Generative AI smarter, more contextual and more useful. Enjoy the learning.

“In the age of Generative AI, understanding RAG is no longer just a technical advantage—it is a need for meaningful understanding. Learn the basics, understand the architecture, explore its possibilities, and discover how RAG can make AI more contextual, relevant and useful. Most importantly, enjoy the journey of learning.” Guys!


Who this course is for:

  • Educators/ Professionals/ Teachers/ Guests