You should have basic Python programming skills and a general familiarity with machine learning concepts; prior experience with cloud platforms or DevOps is helpful but not required.

The program spans two integrated courses — AI Platform Engineer covering MLOps, LLMOps, and AgentOps, and AI Solutions Architect covering system design, cloud infrastructure, governance, and business strategy — giving you both the engineering depth and architectural breadth needed for senior AI roles.

Expect to invest roughly 10–15 hours per week, combining live instructor-led classes, hands-on lab sessions, and self-paced review of materials across the 12-week duration.

You will work with open-source tools including Docker, Python, MLflow, DVC, Apache Airflow, and vector databases like FAISS and Chroma, all of which are free; cloud sandbox access for AWS and Azure is provided or guided during the program.

Python is the primary language used throughout the program for pipeline development, model serving, and evaluation scripts, so comfort with basic Python syntax and libraries is essential.

Graduates are well-positioned for roles such as AI Platform Engineer, MLOps Engineer, LLMOps Engineer, AI Solutions Architect, and Cloud AI Architect across industries adopting 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 AI Platform Architect.

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.