You need only basic familiarity with any programming language and comfort using a terminal — no prior cloud, AI, or DevOps experience is required, as the track starts from Python fundamentals and builds up progressively.

The track spans nine courses covering Python programming, AWS and Azure architecture, Generative AI and LLM development, AI agent frameworks, Docker and Kubernetes, Jenkins/Terraform/Ansible, MLOps/LLMOps, and AI product management — giving you a full-stack view of modern AI engineering.

Expect to invest roughly 15–20 hours per week across live instructor-led classes, hands-on labs, and self-paced review — all sessions are interactive and scheduled so you can ask questions in real time.

A laptop with internet access is sufficient; all labs use cloud-based environments (AWS, Azure) and open-source tools like Docker, Python, and VS Code that run on Windows, macOS, or Linux without special hardware.

The track begins with Python basics including syntax, data types, and control flow, so even if your Python is rusty or you come from another language, you'll be brought up to speed before advancing to APIs, OOP, and async programming.

Graduates are positioned for roles such as Forward Deployed Engineer, AI/ML Engineer, MLOps Engineer, Cloud Solutions Architect, AI Agent Developer, and AI Product Manager — all high-demand positions at product companies and consultancies.

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 Engineer (FDE) 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.