No prior MLOps or LLMOps experience is required — basic Python and familiarity with machine learning concepts are sufficient to get started.

The course covers the full MLOps and LLMOps stack including data versioning, feature stores, vector databases, experiment tracking, prompt management, pipeline orchestration, CI/CD, model serving, RAG deployment, observability, and cloud deployment on AWS and Azure.

Expect to commit roughly 8–10 hours per week across live instructor-led sessions, hands-on labs, and self-paced review over the 6-week duration.

You'll need a laptop with Python installed, Docker, and a GitHub account; cloud sandbox access for AWS or Azure will be provided or guided during the course.

Python is the primary language used throughout; you'll work with libraries and frameworks including MLflow, DVC, Airflow, FastAPI, and Langfuse, so comfort with Python scripting is important.

This course prepares you for roles such as MLOps Engineer, LLMOps Engineer, AI Platform Engineer, and Machine Learning Engineer at companies building or scaling production AI systems.

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 MLOps, LLMOps & AgentOps Architect.

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

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.