Terms & Conditions of Admission

Next Vision Academy provides specialized weekend classroom career programs in Artificial Intelligence, Machine Learning, Data Science, AWS Cloud Computing, and DevOps engineering.

• Programs are open to students from Class 11 onward, college undergraduates (BCA, B.Tech, B.Sc, Diploma), and working professionals seeking hands-on technical upskilling.
• Applicants must provide authentic personal, academic, and identification records (Aadhaar / Photo ID) during final on-campus admission.
• Admission is granted on a first-come, first-served basis subject to seat availability in each weekend cohort.

To guarantee intensive 1-on-1 mentor guidance during coding practicals, every weekend cohort is strictly capped at a maximum of 20 to 25 students per batch.

• Online pre-registration reserves a priority queue token but does not guarantee a seat until on-campus registration and initial fee payment are finalized.
• Batch allocations (Saturday & Sunday timings) are locked upon registration and cannot be changed without written permission from the Centre Academic Head.

• Monthly Installment Plan: Monthly tuition (standard ₹1,500/month for in-person classroom or ₹1,050/month for online) must be paid on or before the 10th of every calendar month.
• Upfront Payment Discount: Students opting for one-time upfront program payment receive an instant 10% waiver on total course fees.
• Non-Refundable Policy: Fees once paid are non-refundable and non-transferable under any circumstances once the academic cohort has commenced.
• Official GST receipts with digital transaction IDs are issued for every fee transaction through the student ERP.

Industry accreditation and hiring partners value actual practical capability over theoretical attendance. Therefore:

• A minimum of 75% classroom attendance across the 60 weekend sessions is mandatory to be eligible for the end-of-track certificate.
• Students must complete all hands-on module assignments and pass their final Capstone Project evaluation.
• Certificates are issued with an ISO/NSQF recognized verifiable credential ID and instant public QR code verification.

• Students must maintain mutual respect, professional discipline, and punctuality during lectures and practical sessions.
• Campus Wi-Fi and network infrastructure must strictly be used for academic and coding purposes. Any unauthorized network scanning, malicious activities, or cyber violation will lead to immediate expulsion without fee refund.
• Plagiarism in coding assignments or unauthorized copying of capstone projects is strictly prohibited.