Data Science & AI · Live online · 12 Months · Weekday + weekend

Data Science & AI.

Build intelligent systems that learn and adapt.

  • 12 Months live online cohort · weekday + weekend batches
  • 1:1 mentorship from working practitioners
  • 8+ portfolio projects, mentor-reviewed
  • 90-day placement support · 95% placement rate
PS

The Data Science program at RYLIN transformed my career.”

Priya Sharma · Data Scientist, Microsoft · +180%

§ The receipts

Where 5000+ graduates landed.

Verified placements · last 4 cohorts

5000+

Graduates placed

95%

Placement rate

148%

Avg salary hike

650+

Hiring partners

Hiring partners · 650+

Sample · scroll →

Google
Amazon
Goldman Sachs
Deloitte
Accenture
Flipkart
Razorpay
Swiggy
Zomato
PayPal
Adobe
Google
Amazon
Goldman Sachs
Deloitte
Accenture
Flipkart
Razorpay
Swiggy
Zomato
PayPal
Adobe
Google
Amazon
Goldman Sachs
Deloitte
Accenture
Flipkart
Razorpay
Swiggy
Zomato
PayPal
Adobe
Walmart
Salesforce
Spotify
Uber
Oracle
Morgan Stanley
HDFC Bank
ICICI Bank
JPMorgan
PwC
KPMG
Walmart
Salesforce
Spotify
Uber
Oracle
Morgan Stanley
HDFC Bank
ICICI Bank
JPMorgan
PwC
KPMG
Walmart
Salesforce
Spotify
Uber
Oracle
Morgan Stanley
HDFC Bank
ICICI Bank
JPMorgan
PwC
KPMG

Avg time to first offer · 45 days

See placement stories →
§ 00Fit
Who this is — and isn't — for

Built for someone.
Not for everyone.

We're upfront about fit. The wrong seat in a cohort drags everyone — so we'd rather you self-select out here than discover it three weeks in.

↳ Built for

  • Engineers and developers ready to specialise in ML, deep learning, and applied AI.
  • Quantitative students from CS, math, physics, statistics looking for industry entry.
  • Analysts who want to move beyond reporting into modelling and prediction.
  • Working professionals carving out 8–10 focused hours weekly across twelve months.

↳ Not built for

  • Anyone uncomfortable with mathematical thinking or programming fundamentals.
  • Career-switchers expecting a six-month timeline — this is twelve, deliberately.

Duration

12months

Live cohort

36weeks

Portfolio depth

08projects

Max cohort

20seats
§ 01Roles
What you graduate hired for

You graduate hired for one of these.

Median salary band based on graduate offers across the last four cohorts.

  • Role · 01

    Data Scientist

    ₹11 – 16 LPA

  • Role · 02

    ML Engineer

    ₹11 – 16 LPA

  • Role · 03

    AI Developer

    ₹11 – 16 LPA

  • Role · 04

    Research Scientist

    ₹11 – 16 LPA

§ 02Journey
Day one to first offer

From day one
to first offer.

Four moments mapped against the calendar. No surprises about where you'll be in week eight or what graduation actually means.

  1. IDay 01

    You walk in.

    Cohort onboarding, faculty intros, a baseline assessment. You meet the people you'll spend the next 12 months working alongside.

    Jyothirmayee Kandra

    Jyothirmayee Kandra

    Mentor · IIM Kashipur Alumni

  2. IIWeeks 14–18

    First portfolio piece ships.

    You've cleared fundamentals and now own one reviewed mini-project. Your mentor has read your code. Your CV is ready for a first redraft.

    Arjun Prajapati

    Arjun Prajapati

    Mentor · IIM Kashipur Alumni

  3. IIIWeeks 33–36

    Capstone defended.

    A consulting-grade project, reviewed by a senior practitioner, gets uploaded to GitHub. Mock interviews start the same week.

    Meet Patel

    Meet Patel

    Mentor · IIM Kashipur Alumni

  4. IVPost-cohort

    Offer signed.

    Placement support runs for 90 days post-graduation. Average time to first relevant interview: under two weeks. Average to offer: 45 days.

    Shivam Kulshreshtha

    Shivam Kulshreshtha

    Mentor · IIM Kashipur Alumni

§ 02Curriculum
36 weeks · 8 modules

Module by module.

Live online cohorts (weekday + weekend batches), taught chronologically. Each module ends with a mini-project that compounds into your portfolio — no isolated lessons, no abandoned exercises.

  1. Code comfortably in Python and apply linear algebra, probability, and calculus to machine-learning problems.

    Advanced Python ProgrammingLinear AlgebraProbability & StatisticsCalculus for ML

Capstone reviewed by senior practitioners · Recordings retained 12 months

Reserve a seat
§ 03Operating procedures
How we teach

Eight things you actually get.

What every learner can rely on, every week, from day one to ninety days past graduation. Not perks. Operating procedures.

  • 1:1 mentorship

    Every learner is paired with a working practitioner. Weekly office hours, code reviews, career advice — the same person from week one to graduation.

  • Live online cohort

    Weekday and weekend batches, capped at 20 seats so faculty can answer questions by name. No pre-recorded lectures pretending to be live.

  • Reviewed portfolio

    Every project is read end-to-end by a senior reviewer. You get written feedback before it goes on your CV — not silent uploads to a dashboard.

  • Mock interviews

    Three full mock loops in the final month — technical, case, behavioural — with practitioners hiring at the companies you're targeting.

  • 12-month recordings

    Every live class is indexed by topic and retained for twelve months post-graduation. Refer back during interviews, on the job, when memory fails.

  • Real-world briefs

    Projects modelled on briefs from Indian operators across fintech, retail, healthcare, SaaS. Documented impact summaries land cleanly on a CV.

  • 90-day placement

    Ninety days of active placement support after graduation. CV redrafts, referral introductions, salary negotiation guidance. Not a one-page guide.

  • Industry certification

    Co-issued with industry partners and verifiable on LinkedIn. The cert opens the screen; your portfolio closes the offer.

§ 04Casework
What you will actually build

What you will actually build.

Eight portfolio projects modelled on briefs from Indian operators — fintech, retail, healthcare, SaaS. Each ships with a written impact summary you can paste into a CV.

BankingP/01

Credit Risk Scoring Engine

Out-performed baseline by 11 AUC points across 1M+ loan records

PythonXGBoostMLflow
HealthcareP/02

Diabetic Retinopathy Classifier

92.4% test accuracy on a 5-class fundus image dataset

PyTorchOpenCVKeras
E-commerceP/03

Real-Time Recommender System

Lifted CTR by 19% in offline replay over baseline collaborative filter

TensorFlowSparkFastAPI
NLPP/04

Resume Parser + Job Matcher

Achieved 88% F1 on entity extraction across 50K resumes

spaCyHugging FaceFastAPI
ManufacturingP/05

Predictive Maintenance Model

Predicted equipment failure 6 hrs ahead with 94% precision

PythonLightGBMAirflow
Computer VisionP/06

Retail Shelf Compliance Detector

Detected 14 SKU classes in-store with 91% mAP via YOLOv8

PyTorchYOLODocker
ForecastingP/07

Multi-store Demand Forecaster

Beat naive baseline by 36% WMAPE across 200 SKUs

PythonStatsmodelsProphet
MLOpsP/08

End-to-End ML Pipeline Capstone

Productionized model with CI/CD, monitoring, and drift alerts

DockerMLflowAWS SageMaker
§ 05Voices
5000+ placed · 148% avg hike

People who shipped through it.

Real names, real companies. Every testimonial below was written by a graduate of this cohort or one of its siblings — no stock copy.

The depth of the Machine Learning curriculum is exceptional. From fundamentals to advanced deep learning, every concept was explained with practical applications. Highly recommend for anyone serious about AI.
AP

Anjali Patel

ML Engineer · Google

+200%
RYLIN's Business Analytics program gave me the perfect blend of technical and business skills. The case studies from real companies prepared me for the challenges I face daily at Amazon.
RV

Rahul Verma

Business Analyst · Amazon

+120%
Started as a fresher with no technical background. The Data Analytics program's structured approach and supportive mentors helped me transition into a successful data career at Flipkart.
VS

Vikram Singh

Data Analyst · Flipkart

+First Job

5000+ graduates placed · 148% avg salary hike · 95% placement rate

§ 06Kit
31 tools · 6 domains

31+ tools you'll master.

We don't teach every tool — we teach the right ones, in the order they appear on the job. Production-grade, not lecture-grade.

Python
Google Colab
X
XGBoost
SciPy
P
PyTorch
O
OpenCV
Y
YOLO
M
MLflow
A
AWS SageMaker
NumPy
S
Spark
Python
Google Colab
X
XGBoost
SciPy
P
PyTorch
O
OpenCV
Y
YOLO
M
MLflow
A
AWS SageMaker
NumPy
S
Spark
Python
Google Colab
X
XGBoost
SciPy
P
PyTorch
O
OpenCV
Y
YOLO
M
MLflow
A
AWS SageMaker
NumPy
S
Spark
R
SQL
SQL
L
LightGBM
T
TensorFlow
H
Hugging Face
N
NLTK
T
Transformers
F
FastAPI
Git
BigQuery
R
SQL
SQL
L
LightGBM
T
TensorFlow
H
Hugging Face
N
NLTK
T
Transformers
F
FastAPI
Git
BigQuery
R
SQL
SQL
L
LightGBM
T
TensorFlow
H
Hugging Face
N
NLTK
T
Transformers
F
FastAPI
Git
BigQuery
Jupyter
Scikit-learn
Sm
Statsmodels
K
Keras
O
ONNX
s
spaCy
D
Docker
A
Airflow
Pandas
Snowflake
Jupyter
Scikit-learn
Sm
Statsmodels
K
Keras
O
ONNX
s
spaCy
D
Docker
A
Airflow
Pandas
Snowflake
Jupyter
Scikit-learn
Sm
Statsmodels
K
Keras
O
ONNX
s
spaCy
D
Docker
A
Airflow
Pandas
Snowflake
§ 07Support
Learning & career support

Expert guidance at every step.

Four pillars of support that compound over the programme — and continue ninety days past graduation. Not bolt-ons. Built into how we teach.

Pillar · 01

Skill Enhancement Workshops

Hands-on workshops focused on in-demand tools and frameworks beyond the core curriculum.

  • Live workshops on emerging tools (GenAI, dbt, dashboarding stacks)
  • Industry case studies from operators currently hiring
  • Project sprints led by senior practitioners
  • Specialist tracks: deep BI, ML systems, applied LLMs
  • Lifetime access for alumni after graduation
Pillar · 02

Career-aligned Mentorship

A personal mentor matched to your target roles, from week one through your first offer.

  • Personal mentor assigned based on your learning goals
  • Weekly 1:1 video sessions on code, CV and trajectory
  • Career strategy and professional development roadmap
  • Regular progress tracking and milestone reviews
  • Direct mentor access via dedicated channels
Pillar · 03

Placement & Hiring Support

Ninety days of active placement support, with referrals into 650+ hiring partners.

  • 90-day active placement support post-graduation
  • CV redrafts and LinkedIn profile optimisation
  • Three full mock interview loops with practitioners
  • Referral introductions across our partner network
  • Salary negotiation guidance and offer review
Pillar · 04

Industry-aligned Projects

Portfolio projects modelled on real Indian operator briefs — reviewed, documented, CV-ready.

  • 8 portfolio projects from fintech, retail, healthcare, SaaS
  • Mentor-reviewed with written impact summaries
  • Capstone defended in front of senior reviewers
  • GitHub portfolio with documented case studies
  • Stack matched to current job descriptions

Still on the fence?

Talk to a counsellor first. Twenty minutes, no payment discussed, no obligation to enrol.

§ 08Credential
Microsoft Certified Professional
Microsoft Certified · Career Program Partner

A credential that opens doors.

On graduation you receive a Microsoft Certified Professional credential — globally recognised, verifiable on Microsoft Learn, and respected by hiring teams across India and abroad. Exam voucher included with your enrolment.

  • Verified by Microsoft Learn · public credential URL
  • LinkedIn add-to-profile ready · QR-backed
  • Globally recognised by hiring teams
  • Exam voucher + mentor-led prep included
Microsoft Certified: Business Analyst Professional — sample certificate

↳ Specimen render · Awarded to learner on programme completion

§ 09Investment
Fee vs outcome

One fee.
One career shift.

Amortised over a six-month tenure with two-, four-, or twelve-EMI options at zero interest. Most graduates recover the investment in their first appraisal cycle.

  • Zero interest across all EMI plans
  • Free to apply · counsellor call before any payment
  • 12 months post-completion access to recordings

Programme fee

₹1,40,000 +GST

or 11,667/month · 12 EMIs

Outcome salary band

₹11 – 16 LPA

§ 11Questions
Before you commit

Before you commit.

Still unsure? A counsellor will walk you through curriculum, batch logistics and EMI plans before any payment is discussed.

Talk to a counsellor
§ 12Inquiry
Got a specific question?

Talk to a real human.

Fill the form and a counsellor will respond within four working hours with curriculum details, batch options, and EMI plans. No spam, no sales scripts.

  • Reply within 4 working hours · 9am–7pm IST
  • Free programme walkthrough · no payment discussed
  • Prefer to talk now? Call +91 96507 05760

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