Ground-truth decision tool operationalizing alumni reviews: academic credibility vs placement dependency, 12-20 hr/wk rigor, and portfolio requirements.
Alumni consensus: upGrad IIIT-B demands 12–15 hrs/wk in initial modules, peaking at 18–20 hrs/wk during Deep Learning, RL, and Capstone.
| Pathway Option | Academic Weight | Tuition Cost | Weekly Demand | Placement Leverage Reality | Est. Time |
|---|---|---|---|---|---|
| IIIT-B upGrad PG Diploma | High (Univ. Senate Credential) | ~₹3.0 Lakhs | 12–20 hrs/wk | Callbacks only; depends on personal GitHub | 12 Months |
| Self-Taught (Coursera + Fast.ai) | Low (Self-directed) | <₹50k (Cheap) | Flexible (8-15 hrs) | Purely driven by deployable GitHub & open-source PRs | 8-14 Months |
| Full-Time Tier-1 M.Tech (IIT/IISc) | Highest (Formal Master's) | ₹4-10 Lakhs + 2yr Loss | 50+ hrs/wk (Full-time) | Genuine on-campus placement pipeline | 24 Months |
| Domain Bootcamps (Learnbay/GreatL) | Moderate / Industry Cert | ₹1.2 - 2.0 Lakhs | 10-15 hrs/wk | Aggressive marketing; mixed alumni hiring signal | 6-9 Months |
Inspect each module's faculty backing, workload, and industry relevance verified by alumni.
Ground-truth audit: "No commercial institute guarantees job placement without an independent deployable GitHub repo & DSA fluency."