Great Learning Free Courses Chat Gpt And Generative Ai Free RAG Course with Certificate Introduction to RAG Beginner level 3.0 learning hrs 1.1K+ 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: Sunakshi Mamgain Key Highlights Get free course content Master in-demand skills & tools Test your skills with quizzes 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. 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. View More Get access to the complete curriculum once you enroll in the course View Full Course Stand out with an industry-recognized certificate Start learning 10,000+ certificates claimed, get yours today! Get noticed by top recruiters Share on professional channels Globally recognised Land your dream job Introduction to RAG 3.0 Hours Beginner Sign up with Email 1.1K+ learners enrolled so far Get free course content Master in-demand skills & tools Test your skills with quizzes Trusted by 10 Million+ Learners globally 4.8 4.89 4.94 4.7 Our course instructor Sunakshi Mamgain Data Science and AI Mentor ChatGPT and Generative AI Expert 534.5K+ Learners 8 Courses Sunakshi holds an M.Tech in Computer Science from IIIT-Bhubaneswar, specializing in Natural Language Processing (NLP). She brings extensive experience in curating and strategizing content for Great Learning programs, covering diverse domains such as Data Science, Artificial Intelligence, and more. Read More 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. View More Become a Skilled Professional with Pro Courses Gain work-ready skills with guided projects, top faculty and AI tools, all at an affordable price. 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