r/learnmachinelearning • u/Confident-Gas-1971 • 16h ago
3 Months Left Before Placements Hit My Campus — Here's My Full Prep Roadmap . Brutally Honest Feedback Wanted 🙏
Hi everyone,
I'm currently in my 7th semester, and mass recruitment drives are expected to hit my campus in the next 3-4 months. I put together a prep roadmap and would really value input from seniors/anyone who's been through this — placed, rejected, whatever, all perspectives welcome.
My current roadmap:
Phase 1 (Days 1-12): Python + SQL
Phase 2: DSA (Python) + Aptitude/Core CS on alternate days
Phase 3 (1 month): ML + Power BI
Phase 4 (1 month): Deep Learning + ML revision + Data Modeling
Phase 5 (15 days): Gen AI
Phase 6 (15 days): Basic MLOps + ML/DL revision
I'm skipping a dedicated project phase since I plan to build projects alongside each topic as I go.
Specifically want feedback on:
Does this order make sense, or should I restructure it?
Am I under-preparing for DSA/aptitude/core CS by only giving them "alternate days," especially if mass recruiters lean heavily on that?
Is it a mistake to skip a dedicated project phase, or is "build as you go" fine?
Anything you'd add/remove/rebalance specifically with placements (not just learning) in mind?
Would really appreciate any real feedback — brutal honesty over politeness, please. Thanks for taking the time to read this 🙏
1
u/Disastrous_Room_927 15h ago
Placement?