Learn RAG (Retrieval-Augmented Generation) Online: Free Course with AI Tutor & Certificate
When language models need relevant, grounded information, this free RAG course shows you how retrieval and generation work together. Across 6 modules, you'll study Introduction to RAG, Understanding Retrieval Systems, Generation Models, Integrating Retrieval and Generation, Tools and Frameworks for RAG, and Ethical Considerations in RAG, then build and assess RAG systems.
What you'll learn in this RAG (Retrieval-Augmented Generation) course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand and articulate the fundamental concepts and applications of Retrieval-Augmented Generation (RAG).
Evaluate and implement various retrieval systems and generation models effectively.
Integrate retrieval and generation components to build robust RAG systems.
Utilize popular tools and frameworks to set up and customize RAG environments.
Address ethical considerations, including bias and privacy, in the development and deployment of RAG systems.
RAG (Retrieval-Augmented Generation) course syllabus
01 Introduction to RAG
- What is Retrieval-Augmented Generation?
- History and Evolution of RAG
- Key Concepts and Terminology
- Benefits and Applications of RAG
02 Understanding Retrieval Systems
- Basics of Information Retrieval
- Types of Retrieval Systems
- Indexing and Searching Techniques
- Evaluating Retrieval Performance
03 Generation Models
- Introduction to Language Models
- Types of Generation Models
- Training and Fine-tuning Generation Models
- Evaluating Generation Quality
04 Integrating Retrieval and Generation
- Combining Retrieval and Generation
- Architectures for RAG Systems
- Challenges in Integration
- Case Studies of RAG Systems
05 Tools and Frameworks for RAG
- Popular RAG Frameworks
- Setting Up a RAG Environment
- Using Pre-trained Models
- Customizing RAG Systems
06 Ethical Considerations in RAG
- Bias in Retrieval and Generation
- Privacy Concerns
- Ensuring Fairness and Transparency
- Future Directions in Ethical RAG
Real-world projects you'll work on
Practice the exact kind of work RAG (Retrieval-Augmented Generation) professionals do on the job.
Developing a RAG-Powered Customer Support System for Amazon
Creating a Personalized Content Recommendation Engine for Netflix Using RAG
Designing a RAG-Based Financial Analysis Tool for Goldman Sachs
Building a RAG-Driven Healthcare Information Retrieval System for Mayo Clinic
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this RAG (Retrieval-Augmented Generation) course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Indian college students who want to learn RAG from scratch through structured modules and projects
- Software developers interested in building applications that combine retrieval systems with language models
- Working professionals exploring RAG for customer support, recommendations, financial analysis, or healthcare information retrieval
- Career switchers building skills in information retrieval, generation models, and RAG frameworks
Prerequisites
- No prior RAG experience is required.
- Basic familiarity with language models and information retrieval is helpful, but the introductory modules cover key concepts and terminology.
- Access to a web browser and internet connection is needed for YouTube lessons and AI-tutor quizzes.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete RAG (Retrieval-Augmented Generation) course: free, structured and job-focused
Language models can answer fluently and still miss the information a team actually needs. This RAG course teaches you to connect retrieval with generation so outputs can use relevant source material. Across 6 modules, you’ll start with Introduction to RAG. Understanding Retrieval Systems and Generation Models follow. Later modules cover Integrating Retrieval and Generation and Tools and Frameworks for RAG. Ethical Considerations in RAG closes the syllabus with a focus on bias and privacy, followed by fairness and transparency.
Practice is tied to named application scenarios. The planned hands-on work includes Developing a RAG-Powered Customer Support System for Amazon, Creating a Personalized Content Recommendation Engine for Netflix Using RAG, and Designing a RAG-Based Financial Analysis Tool for Goldman Sachs. Each project connects retrieval and generation to a distinct application. You’ll use the evaluation topics from the syllabus to examine retrieval performance and generation quality, then consider integration challenges. Building a RAG-Driven Healthcare Information Retrieval System for Mayo Clinic adds another context for applying privacy and fairness.
LearnTube pairs AI-curated YouTube video lessons with an AI-tutor quiz after every lesson. That rhythm helps you check a concept before moving to the next syllabus topic, and you can return when something doesn’t click. Learning is free. If you want a certificate after completing the course, it’s an optional paid add-on. The course is self-paced, so you don’t have to follow a fixed timetable.
Jobs you can target after learning RAG (Retrieval-Augmented Generation)
RAG (Retrieval-Augmented Generation) is a gateway skill for some of the fastest-growing roles in tech.
Builds applications that connect retrieval systems with language models.
Sets up pre-trained models and customizes AI systems for defined applications.
Works with language models, generation quality, fine-tuning, and text retrieval.
Develops indexing, search, and retrieval evaluation components for information systems.
Typical entry-level salary ranges in India as of November 2026. Actual compensation varies by city, company and experience.
Earn a RAG (Retrieval-Augmented Generation) certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this RAG (Retrieval-Augmented Generation) course.
Is this RAG course free?
Yes. Learning is free on LearnTube, including the curated YouTube lessons and AI-tutor quizzes after every lesson. The certificate is an optional paid add-on, so you can complete the 6-module learning path without buying it.
Can I take these RAG classes on mobile at my own pace?
Yes. You can study on a mobile device at your own pace, moving through the 6 modules when it suits you. Each lesson pairs a curated YouTube video with an AI-tutor quiz, so you can check your understanding as you progress.
How long does the RAG full course take to complete?
There’s no fixed completion time because the course is self-paced. Your pace depends on how quickly you work through Introduction to RAG and the remaining modules, complete each AI-tutor quiz, and spend time on the hands-on projects.
What can I build after completing this retrieval augmented generation course?
After the course, you’ll be able to combine retrieval and generation components, evaluate output, and customize RAG environments. Projects include Developing a RAG-Powered Customer Support System for Amazon and Creating a Personalized Content Recommendation Engine for Netflix Using RAG.
Are RAG skills still in demand and worth learning?
RAG skills are useful for AI work where language models need retrieved information for customer support, recommendations, or financial analysis. The course connects those applications to retrieval evaluation and generation quality, while addressing integration challenges alongside bias and privacy.
Can beginners learn RAG from scratch with this course?
Yes. The course begins with Introduction to RAG, including key concepts and terminology. It then progresses through Understanding Retrieval Systems and Generation Models before covering Integrating Retrieval and Generation, Tools and Frameworks for RAG, and Ethical Considerations in RAG.
Does this free RAG course include a certificate?
The optional paid certificate records completion of the RAG learning path. It’s separate from free course access, so payment isn’t required to study the 6 modules, take the AI-tutor quizzes, or work through the listed projects.
Learners also explore these free courses
Pair RAG (Retrieval-Augmented Generation) with a complementary skill to stand out even more.
Start learning RAG (Retrieval-Augmented Generation) today, for free
24 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.
Start Learning Free