You need basic Python programming skills and a general familiarity with APIs; no prior experience with LLMs, RAG, or AI agents is required to get started.

The program covers the full spectrum from RAG architecture, hybrid retrieval, reranking, and enterprise RAG systems to AI agent development, agentic frameworks, Model Context Protocol, and production deployment of autonomous agents.

Expect to invest roughly 8–12 hours per week across live instructor-led classes, hands-on labs, and self-paced review over the 7-week duration.

You'll need Python installed along with access to tools like LangChain, LangGraph, Pinecone or Qdrant, Langfuse, and Cursor — most of which are free-tier accessible and set up during the course.

Python is the primary language throughout; familiarity with SQL is helpful for the structured data RAG modules but is not a hard prerequisite.

Graduates are well-positioned for roles such as AI Engineer, RAG Systems Engineer, LLM Application Developer, Agentic AI Developer, and AI Solutions Architect across industries adopting generative AI.

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 AI Agent Development with 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.