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Choosing a course
Bangalore has more full stack institutes than any other Indian city, and they all advertise the same three things. Rather than hand you a ranking, this page gives you the questions that separate them, and answers them for our own program too.
Short answer
We run two full stack tracks, Java and Python, each 5 to 6 months to a 120-day teaching plan. The frontend half is common to both; the backend is where they separate.
The choice matters less than people think. Both lead to the same entry-level titles, and the fundamentals interviews test (data structures, algorithms, SQL) are identical either way.
Java has more fresher openings in Bangalore, concentrated in services and enterprise firms, and it is the larger of our two intakes. Python has a shorter ramp for a complete beginner and keeps a door open to data and AI work later. If you have no strong preference, Java is the safer default.
Anyone weighing full stack against analytics should know the third option exists: Data Analytics runs 4 months on Python, SQL, Excel and Power BI, and suits someone who would rather work with data than build products.
Teaching moves through five phases: core language and database, backend frameworks, frontend, project development, then career preparation. Classroom batches sit at the BTM Layout campus off Outer Ring Road, within reach of Silk Board, Jayanagar, JP Nagar, HSR Layout and Koramangala. The same syllabus runs live online for anyone outside that radius.
Placement support opens in the career-preparation phase and continues until you are placed, rather than expiring on a date. Fees vary by track and batch and are quoted on a call, so treat any figure you read elsewhere as a guess.
That is what we teach. Here is the standard to hold it, and every other syllabus you are sent, against. A curriculum that stops at building web pages isn't full stack, and what gets a fresher hired is fairly predictable:
Every institute claims placement support, industry projects and expert mentors. Those claims carry no information, because nobody advertises the opposite. These questions separate them. Use them on us as readily as on anyone else.
Ask for recent placements by name, company and package, then look a few up on LinkedIn. Aggregate percentages are unverifiable and everyone quotes a high one.
Does support end after a set number of months, or continue until you're hired? This single term differs enormously between institutes.
Batch size, and whether one trainer stays with the cohort. A 200-person batch with rotating trainers is a recorded course with extra steps.
Sit in on a real class before paying. Any institute confident in its teaching will allow it, and the reluctance is itself an answer.
Read them before you pay, not after. Reputable institutes publish them; ours are at /refund-policy.
Four to six months full time for most credible programs; ours run 5 to 6 months. Anything advertised as job-ready in under three months is cutting the DSA and interview preparation that hiring tests hardest.
Yes, and most of our students start there. The honest caveat is that the pace is demanding early on: expect self-study beyond class hours for the first six weeks.
For freshers in Bangalore, usually. The mock interview loop and cohort pressure are better in person. We run both formats, so this isn't a claim we need to make to sell.
Our students' offers typically fall between ₹4 and ₹16 LPA depending on background and interview performance. Be sceptical of any institute quoting one average figure without saying what it averages.
Next step
Twenty minutes on your background, which stack fits, and what the placement support actually involves. No obligation to enrol.
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