Description
RAG Foundation Course: End-to-End Generative AI Basics is a course to build a strong foundation in Retrieval-Augmented Generation (RAG) and develop modern generative AI applications, published by Udemy Online Academy. This course guides learners through the entire RAG workflow, from understanding large language models and embeddings to document preparation, retrieving relevant information, building prompts, and generating documented responses. Learners explore how RAG systems connect language models to external knowledge sources to improve accuracy, relevance, and access to up-to-date information. The course starts with the basics and explains what large language models do well, where they fall short, and why retrieval-based approaches have become the standard way to document AI systems based on real, verifiable data.
From there, you’ll explore the practical building blocks of a RAG pipeline: how embeddings represent meaning numerically, how documents are segmented and prepared through chunking, and how a retrieval stage selects the most relevant pieces of information before reaching the linguistic model. With this foundation, the course builds effective prompts that combine retrieved context with the user’s query, so that the model produces answers that are based on real sources rather than guesswork. You’ll also compare different RAG patterns and architectures to gain an understanding of which approach is best suited for different use cases, data types, and accuracy needs. Throughout the course, the focus remains practical and beginner-friendly—the goal isn’t just to understand the concept of RAG, but to see how a functional retrieval-boosted system is assembled from start to finish and why each stage matters. By the end of the course, you will have a clear and practical understanding of how to design, analyze, and improve RAG systems, along with the vocabulary and mental model necessary to continue learning in this evolving field.
What you will learn in RAG Foundation Course: End-to-End Generative AI Basics:
- Understand the fundamentals of Retrieval-Augmented Generation (RAG), its architecture, components, and real-world applications
- Learn and compare different RAG approaches, patterns, and architectures used in modern AI systems
- Master document chunking strategies and retrieval techniques to improve the accuracy and relevance of RAG systems
- Apply prompt engineering techniques within RAG workflows to generate more reliable, contextual, and accurate AI responses
- and …
Course specifications
Publisher: Udemy
Instructors: Krishna Tadi
Language: English
Level: Introductory to Advanced
Number of Lessons: 40
Duration: 1 hour and 24 minutes
Course topics
RAG Foundation Course: End-to-End Generative AI Basics Prerequisites
No prior RAG experience is required; a basic understanding of AI, LLMs, or Python is helpful but not necessary, as all concepts are explained from the ground up.
Pictures
RAG Foundation Course: End-to-End Generative AI Basics introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
3.1 GB