Overview
Why this course works
A modern data career starts here
This 5-month cohort takes you from Python and SQL fundamentals to shipping ML and LLM-powered products that actually run in production.
Highlights
- Real datasets from finance, retail, and healthcare
- End-to-end MLOps — train, evaluate, deploy, monitor
- LLM applications — RAG, agentic workflows, evaluation harnesses
- Capstone — pick your track: applied ML, analytics, or LLM engineer
Curriculum
Modules and lessons
4 modules · 13 lessons
Technologies
- Python
- PostgreSQL
- 1Python for data180 min
- 2SQL deep-dive150 min
- 3Pandas + NumPy180 min
Stack
Technologies you'll master
- Python
- Pandas
- NumPy
- PyTorch
- LangChain
- PostgreSQL
- AWS
- Docker
Outcomes
Where our alumni work
Placement rate
92%
within 90 days of graduation
Avg. first offer
₹14.0 LPA
across 2 alumni
Hiring partners
100+
across product, services and startups
Tara Bose
ML Engineer · Swiggy
Divya Pillai
Data Analyst · Razorpay
Instructors
Learn from senior engineers
Arjun Subramanian
Lead Mentor · ex-Razorpay, ex-Atlassian
12+ years building payments and developer tools. Leads weekly live sessions for Data Science & ML Bootcamp.
Nikita Raj
Placement Coach · ex-Postman, ex-Freshworks
Owns mock interviews, system design prep, and offer negotiation for every cohort.
Testimonials
What our students say
“The agentic workflows module made me hireable for 2025-era LLM roles. Couldn't recommend it more.”
Tara Bose
ML Engineer · Swiggy
FAQ
Frequently asked questions
- Comfortable high-school math is enough. We cover stats and linear algebra in context as we go.