Limited seats
Live, hands-on
Live, hands-on
Machine Learning
Cohort-based and hands-on from Python fundamentals to deployed models — built for students and professionals from any background. No prior coding experience required.
Batch size
Up to 5 students
On completion
e-Certificate
Model accuracy
train_model.py
import sklearn from sklearn import svm model.fit(X, y) model.score(X_test)
Live session progress
Batch size
≤ 5
students per live cohort
◆ Fully live, instructor-led training
◆ Hands-on from session one
◆ Real biological & general datasets
◆ No prior coding experience needed
WHO SHOULD JOIN
Built for curious minds, not just computer scientists.
If you can open a spreadsheet, you can learn to build a model. This program was designed to be the on-ramp for people who've never written a line of code.
01
Students — UG / PG / PhD
02
Working professionals
03
Computer Science & IT students
04
Engineering graduates
05
Science & math graduates
06
Researchers, any discipline
07
Data science enthusiasts
08
Anyone curious about AI/ML
★ No prior ML experience required — just curiosity and consistency.
CURRICULUM • 4 MODULES
A structured path from zero to confident practitioner.
Every concept is taught live and reinforced with hands-on coding exercises and real datasets — you learn by doing, in order.
01
Essential Python for ML
Build a strong programming foundation in Python and the libraries every ML workflow depends on.
Python BasicsNumPyPandasData CleaningEDA
02
Machine Learning Foundations
Understand core ML concepts and algorithms used to solve real-world problems and build predictive models.
Supervised LearningUnsupervised LearningModel Evaluation
03
Professional ML Workflow
Work the way ML teams actually work — versioned, organized, and reproducible from day one.
04
Feature Engineering & Model Selection
Go from a working model to a good one — tune it, validate it, and know why you'd choose it.
YOUR LIVE TRAINING JOURNEY
One weekend cohort,
four live modules.
01
WEEK 1
Python Foundations
02
WEEK 2
ML Foundations
03
WEEK 3
Professional ML Workflow
04
WEEK 4
Feature Engineering & Model Selection
✓
WRAP-UP
Live Q&A & Certification
BY THE END OF THE PROGRAM
What you'll walk away with.
- Build and train machine learning models from scratch
- Clean, explore and engineer features on real datasets
- Evaluate and fine-tune models for better performance
- Track experiments and manage code like a professional
- Hands-on, live practice across every module — guided
ROLES THIS OPENS DOORS TO
Machine Learning Engineer
Data Scientist
Data Analyst
AI Consultant
Research Scientist
NLP Engineer
Business Analyst
and many more
TOOLS YOU'ALL ACTUALLY USE
Industry-standard,
from week one.
PythonNumPyPandasMatplotlibScikit-learnJupyterGoogle ColabStreamlitGit & GitHub
Earn a certificate that shows the work.
Issued on successful completion of all live sessions
Verifiable e-Certificate, shareable on LinkedIn
Signed by the Biosyntiya Solutions team
Reflects live, hands-on training — not a self-paced course
REGISTRATION
Reserve Your Seat For Live Batch
Indian Participants
UPI Direct Transfer
Small Batch (5-8 participants max)
Students (UG / PG / PhD):
₹2,499
Working Professionals:
₹3,499
UPI ID for Payment:
9582327689@okbizaxis
After completing payment via Google Pay/PhonePe/Paytm, please send a screenshot for instant confirmation.
Send Payment ScreenshotForeign Participants
Razorpay Checkout
International Credit/Debit Card
Students (UG / PG / PhD):
$30 USD
Working Professionals:
$40 USD
Razorpay Gateway Link:
https://rzp.io/rzp/VMhtNsjB
Secure online checkout for international registration.
Pay via Razorpay