The MasterAI flagship pathway — Tier I, II, and III — produces a generalist AI builder. The three programmes catalogued here serve a different audience: practitioners who already have a clear specialisation in mind and want depth on a single axis.
Each programme is fully standalone. Each can also be combined with a main MasterAI tier where the cross-curriculum justifies it.
A fifteen-month combination programme pairing rigorous ML theory and engineering with the full MasterAI product-building curriculum. India's most complete model-to-product education.
A standalone nine-month online research programme covering quantum information theory, Qiskit programming, hardware platforms, and original research culminating in a publishable thesis. Includes IBM Q and AWS Braket lab access throughout.
Benchmarked vs. MIT xPRO (₹1.35L per single course, ₹2.7L for 2-course Quantum Fundamentals certificate). Our nine-month programme delivers a substantively deeper output at the lower bound of this benchmark range.
An advanced four-month module on the engineering discipline of designing production AI systems. Multi-agent orchestration, MLOps, distributed inference, enterprise integration. The module that separates AI users from AI architects.
| Dimension | ML + AI Combination | Quantum Computing | AI Architecture |
|---|---|---|---|
| Investment | ₹5,00,000 | ₹2,50,000 | ₹2,50,000 standalone · ₹1,00,000 add-on |
| Duration | 15 months | 9 months | 4 months |
| Format | In-person | Online | In-person |
| Batch / Cohort Size | 15–20 | 20 (online) | 12 |
| Output | Trained model + launched product with paying users | Publishable research thesis + arXiv submission | Architecture document + production system |
| Pre-requisite | Quant aptitude or Tier I MasterAI | Linear algebra + Python comfort | 3+ yrs SWE or Tier I/II MasterAI |
| Best For | Engineer-founders launching model-led startups | Future researchers and quant-adjacent industry roles | Senior engineers and technical founders |