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Free RAG Course with Certificate

Introduction to RAG

Beginner level 1.5 learning hrs 1.2K+ Learners

Enroll in our Introduction to Free RAG course, perfect for beginners. You'll learn the basics, key concepts, terminology, and the Retrieval augmented generation workflow. Start today and earn a certificate upon course completion.

Instructor:

Chaitra B

Introduction to RAG

Beginner level 1.5 learning hrs 1.2K+ Learners
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1.2K+ learners enrolled so far

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Skills you will gain

LLMs and prompt engineering

embeddings and vector databases

information retrieval techniques

RAG pipeline development

data preprocessing and document handling

and managing challenges like hallucinations

latency

and scalability

+2 More

Key Highlights

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About this course

In this GLA Free course you will be able to understand the basics and working of Retrieval-Augmented Generation (RAG), along with its core concepts, types, and real-world applications. It also helps in understanding how vector stores, embeddings, and retrieval mechanisms work, along with challenges like hallucinations and performance issues. A zero-cost RAG engine is built using open-source tools and a mini project on RAG-based PDF question answering and video retrieval system is also understood in detail.

Course outline

Foundation of RAG

In this module, you will learn about introduction to RAG along with the different types of RAG, challenges associated with RAG and some real-world applications.

Core Concepts of RAG Systems

In this module, you will learn about the vector stores, FAISS and Pinecone, Embeddings , Retrieval Mechanisms, Latency and Scalability in Production of RAG Systems are also discussed.

Types of Retrieval-Augmented Generation Systems

In this module, different types of RAG like Naive RAG, Advanced RAG and Modular RAG are discussed in detail

Building a Zero-Cost RAG Engine

This module helps in building a Zero-Cost Retrieval-Augmented Generation (RAG) Engine using freely available tools and libraries, including Hugging Face, FAISS, Sentence-Transformers, and PyMuPDF.

Fixing Hallucinations & Hybrid Search

This module helps in understanding fixing hallucinations in RAG systems and applying hybrid search for more reliable retrieval.

Mini Project

This module helps in Building a RAG‑Based PDF Question Answering & Video Retrieval System to overcome the inherent limitations of large language models (LLMs)

Get access to the complete curriculum once you enroll in the course

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Stand out with an industry-recognized certificate

Start learning
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10,000+ certificates claimed, get yours today!

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Share on professional channels

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Globally recognised

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Introduction to RAG

1.5 Hours

Beginner

Sign up with Email
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1.2K+ learners enrolled so far

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

Trusted by 10 Million+ Learners globally

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4.8
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4.89
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4.94
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4.7

Our course instructor

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Chaitra B

Content Strategist

ChatGPT and Generative AI Expert

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64.9K+ Learners
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3 Courses
Chaitra B. is a dedicated content strategist at Great Learning with over seven years of experience in teaching and the ed-tech industry. She holds an M.Tech in Computer Science from Reva University, Bangalore, where she graduated as a topper and gold medalist, building a strong foundation across multiple technical domains. Her expertise and interests span cybersecurity, cloud computing, Java, and other programming frameworks. She began her professional journey as an assistant professor at Reva University, where she spent four years mentoring students and creating impactful learning experiences that connected theoretical concepts with real-world application.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What topics are covered in this course?

You'll cover topics such as the fundamentals of Large Language Models (LLMs), integrating external knowledge in RAG, key concepts and terminology, the RAG workflow, applications, handling hallucinations, and implementing RAG using LangChain.

What is the "Introduction to RAG" course about?

This course introduces beginners to the fundamentals of Retrieval-Augmented Generation (RAG). You'll learn key concepts, the RAG workflow, its applications in various fields, and practical implementation techniques.

Who is this course intended for?

The course is ideal for beginners or anyone interested in learning about RAG and its applications in AI. No prior knowledge of RAG is required, making it accessible to learners from various backgrounds.

How long does it take to complete the course?

The course duration is of 1:30:00 hours. It can be completed at your own pace. Most learners finish the course within a few hours, but you can take as much time as you need to understand the material fully.

Is the course free of charge?

Yes, this course is completely free. There are no hidden fees, and once you enroll, you’ll have full access to all the learning materials.

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