You need basic programming experience in any language and a general familiarity with software or web concepts — no prior cloud certifications or AI knowledge is required to start.

The program spans seven courses covering AWS and Azure architecture, Generative AI engineering, AI agent development, AI solutions architecture, MLOps and LLMOps, and AI product management — giving you end-to-end coverage from cloud fundamentals to production AI deployment.

The program is structured as a live, instructor-led experience over 24 weeks, and most learners invest 10–15 hours per week across live sessions, hands-on labs, and project work.

You will need a laptop with internet access, a free AWS account, an Azure account, and Python installed — all other tools like Docker, MLflow, and LangChain are set up as part of the hands-on sessions.

Python is the primary language used throughout the program for AI, MLOps, and cloud automation; basic familiarity is helpful, but the curriculum builds your skills progressively from the ground up.

Graduates are positioned for roles such as Forward Deployed AI Architect, MLOps Engineer, Generative AI Engineer, AI Solutions Architect, Azure or AWS Solutions Architect, and AI Product Manager.

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 Forward Deployed Architect (FDA) CareerTrack.

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.