No prior AI or ML experience is required — the track starts with Python fundamentals and progressively builds toward advanced AI engineering topics. A basic familiarity with any programming language and high school mathematics is sufficient to get started.

The track spans six courses covering Python programming, Generative AI and LLM development, AI agent frameworks, MLOps and LLMOps infrastructure, AWS cloud architecture, and RAG specialization. Every major layer of the modern AI engineering stack — from writing clean Python to deploying production agent systems — is addressed.

Plan for approximately 15 to 20 hours per week, combining live instructor-led sessions, hands-on labs, and self-paced review. The program is structured to be intensive but manageable alongside part-time work commitments.

You will need a laptop capable of running Python 3.10+, Docker, and a modern IDE such as VS Code; all other tools including cloud environments and API keys are covered during the course setup sessions. No specialized hardware is required.

Python is the primary language taught throughout, covering everything from basic syntax and OOP to async programming, FastAPI, and advanced library usage. You will also work with YAML configuration files, shell commands, and SQL as supporting skills within the MLOps and data engineering modules.

Graduates are prepared for roles such as AI Engineer, LLM Application Developer, MLOps or LLMOps Engineer, AI Agent Developer, and RAG Engineer at product companies, AI startups, and enterprise technology teams. The combination of end-to-end skills — from model fine-tuning to cloud deployment — makes you competitive for mid-to-senior engineering positions.

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 Engineer Career Track.

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.