Delivery
Three ways to run this, depending on how much term you have.
All three are taught offline on campus, sit inside your academic calendar, and are backed by a self-paced library and a proctored assessment bank.
Sprint bootcamp
The standard domain format. Short enough to run eight or ten of them across one batch in a single term.
4offline hours
2 sessions × 120 min
01Marketing & Brand8 bootcamps4h
02Finance & BFSI5 bootcamps4h
03Human Resources4 bootcamps4h
04Operations & Supply Chain4 bootcamps4h
05Business Analytics4 bootcamps4h
06Product & Consulting4 bootcamps4h
07AI & Emerging Functions15 bootcamps4h
Group delivery, offline. Forty-four bootcamps available in this format across seven tracks.
Most requested
Blended domain programme
Sprint bootcamps plus the analyst toolkit and the proctored testing that makes the whole thing measurable.
6components across
offline, online and LMS
01Domain bootcampsChosen from the 44 in the catalogue, run in parallel rooms2 × 120 min
02Advanced ExcelFormulas, dashboards and MIS automation, online5 sessions
03Tableau / Power BIData modelling and dashboard build, online5 sessions
04Company-specific sessionsBuilt on demand around your named recruiters10 sessions
05Domain testsProctored, function-specific, on the LMS5 per student
06Career Discovery TestThe psychometric that drives the seat plan1 per student
Runs inside a last-mile or pre-placement calendar. Online sessions are 90 minutes; company-specific sessions are 60 and added on demand.
Deep technical track
For engineering cohorts specialising rather than sampling. One track, a full term, its own assessment bank and an end-to-end project.
100offline hours
+ self-paced on the LMS
01Data Analytics70h
02Data Science100h
03Full Stack Development100h
04Cloud - AWS100h
05Cloud - Azure100h
06DevOps100h
07Cyber Security100h
08Data Engineering100h
Seven of the eight run 100 offline hours; Data Analytics runs 70. Batch sizes up to 75 per the commercials sheet.
The technical tracks on one page
What we would put in front of your academic council. Offline hours, module count and the assessment load behind each deep track.
Technical bootcamp breakdown: offline hours, modules, practice and graded assessments
| Bootcamp | Offline hours | Modules | Practice | Graded |
| Data Analytics | 70 h | 5 | 20 | 7 |
| Data Science | 100 h | 7 | 30 | 10 |
| Full Stack Development | 100 h | 7 | 35 | 10 |
| Cloud - AWS | 100 h | 7 | 35 | 7 |
| Cloud - Azure | 100 h | 5 | 25 | 5 |
| DevOps | 100 h | 5 | 25 | 5 |
| Cyber Security | 100 h | 5 | 25 | 5 |
| Data Engineering module list withheld | 100 h | 5 | 25 | 5 |
| Eight technical tracks, plus self-paced hours on the LMS | 770 h | 46 | 220 | 54 |
Commercials include offline training, all assessments, learning material and twelve months of platform access. Request a proposal for costing against your batch count and your chosen bootcamp mix.