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Free RAG Course with Certificate

Introduction To RAG

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.

Beginner

Level

3.0 Hrs

Learning hours

6

Learners

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Introduction To RAG

3.0 Learning Hours . Beginner

Skills you’ll Learn

About this course

Introduction to RAG is uniquely designed to give beginners a comprehensive understanding of RAG. Students can expect to learn the foundational concepts and terminology, gain insight into the RAG workflow, and explore its real-world applications. What sets this course apart is its focus on practical learning—addressing challenges like hallucinations in Retrieval augmented generation and providing hands-on experience with LangChain for implementation. By the end, you’ll clearly understand RAG and how to apply it effectively.

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Course Outline

Introduction to RAG

In this module you will learn Large Language Models (LLMs) fundamentals and how Retrieval-Augmented Generation (RAG) integrates external knowledge for more accurate responses.

Basics Concepts and Terminology - RAG

This module covers the basics of RAG focusing on key concepts, retrieval and generation processes, and how they enhance large language models with external knowledge for more accurate responses.

Workflow of RAG

This module explains the RAG workflow, detailing the retrieval of external information and generation of accurate responses with large language models. Learn how RAG enhances AI capabilities by combining these processes.

Applications of RAG

This module explores RAG applications in fields like customer support, content creation, and research. Discover real-world examples and case studies demonstrating RAG's practical benefits and versatility.

Hallucinations in RAG

This module addresses hallucinations in RAG, explaining their causes and impacts. Learn strategies to mitigate hallucinations and improve RAG model accuracy and reliability.

Implementing RAG using LangChain

This module provides a step-by-step guide to implementing RAG with LangChain, starting with library imports and progressing through practical exercises for enhanced AI responses.

Trusted by 10 Million+ Learners globally

Earn a certificate of completion

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Get free course content

blue-tick

Learn at your own pace

blue-tick

Master in-demand skills & tools

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Test your skills with quizzes

Introduction To RAG

3.0 Learning Hours . Beginner

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 enrol 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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