Free RAG Course with Certificate
Introduction to RAG
4.6
Beginner level
1.5 learning hrs
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
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
4.6
South Africa
India
India
Our course instructor
Chaitra B
Content Strategist
ChatGPT and Generative AI Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
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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