No prior programming or AI experience is required — the program starts from Python basics and environment setup, progressively building your skills through each course. Basic computer literacy and a willingness to learn are all you need to get started.

The program spans ten interconnected courses covering Python programming, full-stack development with Vibe Coding, generative AI engineering, AI agent development, AWS cloud architecture, Docker and Kubernetes, digital marketing with GenAI, performance marketing, and product management. Every course is grounded in the TOC and designed to give you the complete skill set needed to build and launch an AI-powered venture.

Expect to invest roughly 15–20 hours per week across live instructor-led sessions, hands-on labs, and self-paced review. All core sessions are live and interactive, so you can ask questions in real time and collaborate with peers and mentors.

You need a laptop with a stable internet connection; all primary tools — including Python, VS Code, Cursor, Docker, and cloud platforms like AWS and Supabase — are either free or offer free tiers sufficient for the coursework. No specialized hardware is required.

Python is the primary language throughout, covering everything from basic syntax and OOP to async programming, FastAPI, and LLM fine-tuning. You will also work with SQL for database management, YAML for Kubernetes manifests, and prompt engineering for generative AI applications.

Graduates are prepared for roles such as Generative AI Engineer, AI Agent Developer, Full Stack Developer, AWS Solutions Architect, DevOps Engineer, Product Manager, Performance Marketing Manager, and AI Entrepreneur. The breadth of the curriculum is specifically designed to support founding or joining early-stage AI ventures.

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 Entrepreneurship.

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.