Question 1

Do you guarantee 100% placement or pay-after-placement?

Accepted Answer

No. We believe guaranteeing a job is fundamentally dishonest because no training organization can guarantee what an external company will do. Instead, we guarantee rigorous training, a high-bar environment, and the ability to build real systems. Your portfolio, demonstrable capability, and verifiable proof of work will get you hired—not a fake promise.

Question 2

Will companies value the Go Beyond Degree certificate?

Accepted Answer

No certificate from an independent fellowship automatically gets you a job. We provide a Certificate of Completion (e.g., AI Foundations, AI Systems Engineering), but what companies will actually recognize and value is the verifiable code you ship, the real products you deploy, and your ability to explain complex architectures.

Question 3

Will we just be building standard tutorial clones like a weather app?

Accepted Answer

Absolutely not. In the DOMINATE stage (Stage 3), you work with a team to identify a real problem, design a product, and deploy it for actual users. Your portfolio will consist of real repositories, real commits, and a deployed system that handles real traffic, distinguishing you from standard bootcamp graduates.

Question 4

What is the cost of the fellowship and how is it structured?

Accepted Answer

The total cost is ₹10,000. It is structured per stage: GROW (₹3,000), BUILD (₹3,000), and DOMINATE (₹4,000), paid before the start of each stage. This gives you the flexibility to commit stage-by-stage. If you prefer to pay for all three stages upfront, the discounted total cost is ₹9,000.

Question 5

Are the classes live or pre-recorded? How are doubts resolved?

Accepted Answer

Classes are Live and mandatory, running 5 days a week. Weekends feature optional, dedicated 2-day doubt-clearing sessions. Doubts are posted in our LMS beforehand, and our TAs address them systematically. To respect your time, we announce exactly which questions will be covered each weekend so you know exactly when to tune in.

Question 6

What is the selection process? Can anyone join?

Accepted Answer

There is an interview process, but it is not designed to test your technical skills. We use it strictly to identify your willingness to learn and build. For our inaugural batch, we will accept admitted students up to a strict cap of 30-50 students to ensure high-quality mentorship.

Question 7

Do I need an expensive laptop with a dedicated GPU for AI training?

Accepted Answer

A standard PC or laptop is required, but you do not need a massive GPU. We do not provide cloud credits, but we deliberately design our curriculum to run mostly on free cloud resources (like Google Colab notebooks) so you can train models without massive hardware costs.

Question 8

I don't know advanced Math or Python. Can I still survive the GROW stage?

Accepted Answer

Yes. The GROW stage is designed to take you from the ground up. We start with Python, foundational Math, Machine Learning basics, and building Neural Networks from scratch without relying on frameworks right away. You do not need prior experience, but you absolutely need the willingness to work hard.

Question 9

How are teams formed in the DOMINATE stage? What if someone slacks off?

Accepted Answer

You have the freedom to form your own teams of 4. The teams are self-managed, mimicking a real startup environment, but they are closely monitored and helped by our TAs and instructors to ensure accountability and progress.

Question 10

I can learn all this from free YouTube videos. Why should I pay for this fellowship?

Accepted Answer

Information is free, but transformation requires an environment. YouTube cannot provide a rigorous cohort of peers, strict accountability, live architecture reviews, or the pressure of shipping a product as a team. We don't charge you for information; we charge you for the environment, the structure, and the feedback loops.

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