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LifestyleMastering Retrieval-Augmented Generation (RAG) (Udemy.com)
Master RAG from Zero to Hero: Build Real-World AI with Retrieval-Augmented Generation
Created by: Luka Anicin
Last updated October 2025
What you will learn
- Core principles of Retrieval-Augmented Generation (RAG) – Understand how RAG combines retrieval and generation for improved AI responses.
- Implementing basic and advanced RAG architectures – Step-by-step guides to setting up RAG, Multi-Query RAG, RAG Fusion, and HyDE RAG.
- Working with OpenAI embeddings and Pinecone – Practical exercises in connecting embeddings with vector databases for efficient retrieval.
- Multi-query and RAG Fusion techniques – Learn strategies for better, contextually accurate answers through fusion and multi-query models.
- Building and deploying RAG with FastAPI on Google Cloud Platform (GCP) – End-to-end deployment guidance for scalable RAG applications.
- Prompt routing and database management – Gain experience with routing strategies and optimized content indexing for more efficient RAG systems.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.2 out of 5higher than 9% of them
- Reviews138#383 of 462 by number of reviews
- Length2.5 hoursshorter than 85% of them
- Last updatedOctober 2025more recently than 50% of them
Course Description
Welcome to "Mastering Retrieval-Augmented Generation (RAG): From Zero to Hero"!
This course is your all-in-one guide to understanding and implementing Retrieval-Augmented Generation (RAG) — a game-changing approach to enhance AI responses with powerful retrieval capabilities. Through hands-on projects, real-world exercises, and step-by-step tutorials, you'll quickly learn how to leverage RAG architectures to build effective and scalable AI solutions.
This course is designed for AI practitioners, data scientists, machine learning engineers, and developers with a background in Python programming and a basic understanding of machine learning and NLP concepts.
What You'll Learn:
- Core RAG Architecture – Understand how RAG works, from basic concepts to advanced multi-query, Fusion, and HyDE architectures.
- OpenAI Embeddings and Pinecone Integration – Learn how to connect OpenAI embeddings with Pinecone for efficient content retrieval.
- Building RAG Models from Scratch – Implement multi-query and Fusion RAG models with hands-on exercises.
- Advanced RAG Techniques – Explore database and prompt routing, caching, and deployment for optimized RAG solutions.
- Deploying on Google Cloud Platform (GCP) with FastAPI – Deploy your RAG models in a scalable cloud environment with detailed deployment instructions.
Who This Course is For:
This course is ideal for those with a background in software engineering, Python programming, and basic ML knowledge who are eager to dive into RAG applications. It’s packed with exercises to build your expertise from scratch, making it suitable for those new to RAG while being comprehensive enough for seasoned AI practitioners looking to expand their skills.
Join us and become proficient in RAG, from setting up basic architectures to deploying scalable, real-world AI solutions!
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Instructor Details
- 4.2 Rating
138 Reviews
Luka Anicin
Meet Luka Anicin, an internationally recognized expert in AI and Machine Learning. He kickstarted his career as a Computer Vision Researcher and quickly became a leading Machine Learning Engineer at BlueLife AI. His entrepreneurial spirit led him to launch Scooby AI in 2020, and later sell it. Luka had an amazing opportunity to work in Photomath creating OCR algorithm for scanning mathematical tasks, that currently benefits over 280 million students worldwide.
Luka founded Datablooz, a global technical project consultancy, helping businesses harness the power of AI. As a passionate educator, he's guided over 500,000 students across 197 countries in understanding complex technical topics. Recognized by Google among the top 150 machine learning experts, Luka is a powerhouse of AI, focused on leveraging technology to transform businesses.
Let him be a part of your journey into the realm of AI and Machine Learning.
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Reviews
By Kumar Aditya on 10/13/2026
This is so amazing content, specially for someone who just wants to have a high level view "how these whole things are connected and works".
By Arnav Nakka on 6/11/2026
too many errors to fix
By Jon Z on 8/28/2025
Course started well, but there were too many errors in the code to fix, too many steps skipped, did not get my moneys worth with this course
By Steve Billings on 4/11/2025
This course does a great job of presenting RAG application development in a way that's interesting and really easy to understand. This course, on top of some basic python knowledge, is sufficient to get started developing surprisingly-good chatbots on your local machine. (And if you want to deploy to the cloud, the instructor even makes even that about as simple as I think it can possibly be.)
By Samir Rajbhandary on 3/23/2025
This opened my understanding on implementing RAG. The course was made very simple so that it can be learned by any individual without prior knowledge of LLM.
By Tushar Gupta on 3/17/2025
The course is short, informative and included lots of hands on exercise. I was just partially lost in the last section which is related to deployment. I understood the RAG systems very well after taking this course and would like to thank the instructor for this amazing course.
By Ionut Dumitru on 2/28/2025
I liked the progression from one module to the next, and how the author is building more complex knowledge on top of basic principles. Though I would recommend the author to revise the provided source code, as some of the modules are outdated (feb 2025) and need an update. Also, there are a few errors in the source code that need to be corrected. Great knowledge, thank you!
By Juan José Pardo on 2/4/2025
the deployment part could be more detailed or contain more cloud options, but the concepts and examples are well documented, structured and explained.
By Milorad Stankovic on 12/3/2024
This is the third course I've taken by Luka, and I can gladly say that at no point did I feel like I was missing something out or that I had to go back and rewatch to understand. The course is focusing exactly on what you need to know - raw wheat, no chaff. So, very well explained, good pacing, gets to the point. I highly recommend!
By Andrej Mazic on 11/26/2024
The explanations are clear, the examples are practical, and the instructor does an excellent job breaking down complex concepts. I appreciated the focus on both theory and hands-on implementation, which has been incredibly helpful in my projects. I highly recommend this course to anyone interested in AI techniques!
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 84 / 100
- Video Duration:
2.5h - Price: $12.99
- Provider: Udemy
- Updated:
October 2025 - Level:
Beginner - Language:
English - Certificate:
Yes
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