No prior RAG experience is required, but a basic understanding of how LLMs work and familiarity with Python will help you get the most out of the course.

The course covers the full RAG stack — from chunking strategies, hybrid retrieval, and reranking to agentic pipelines, production deployment, enterprise governance, evaluation frameworks, and multimodal applications.

Expect to invest roughly 10–12 hours per week across live instructor-led sessions, hands-on labs, and project work over the 3-week duration.

You will work with Python, LangChain, LangGraph, Pinecone, Qdrant, Chroma, and Langfuse — all of which are free to set up, and setup guides are provided before the course begins.

You should be comfortable writing Python functions, working with libraries via pip, and calling REST APIs — advanced Python expertise is not required.

This course directly prepares you for roles such as RAG Engineer, LLM Application Developer, AI/ML Engineer, and Enterprise AI Architect, which are among the fastest-growing positions in the AI industry.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in RAG Specialization.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

Yes, hands-on lab access is available at an additional cost, typically around ₹2,750 (or $30 for international learners) per year. This is the standard rate for most tracks, though specialized labs such as Data and Security may be priced differently. Beyond just practicing what you learn, the labs let you host and showcase your projects live, so you can share your work on social media or present it directly to recruiters as part of your portfolio.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.