Offline Career Track
Intermediate
14 Weeks
NEW
AI / ML
Learn machine learning the practical way with Python, data preprocessing, model building, evaluation, and a modern introduction to AI tooling and LLM awareness.
Batch starting soon
WHO THIS IS FOR
Python learnersData analytics graduatesAspiring ML engineers
Best for: B.Tech · Degree · Job Seekers & Working
Python for ML
Data Preparation
Machine Learning
Model Evaluation
Visualization
Mini Projects
Course Outline
Curriculum Timeline
Each stage connects teaching, lab work, assignments, and doubt resolution so students can keep moving with direct classroom support.
Curriculum is getting an update
Our CATs are on it The refreshed syllabus will be ready by October 20.
Ready by October 20 · 5%
Who this course is for
Building the Intelligence of Tomorrow
Python Developers
Engineering Students
Data Enthusiasts
Future AI Engineers
After this course, you can
Models. Logic. Deployment.
Build predictive ML models
Understand neural networks
Master Scikit-learn & TensorFlow
Deploy AI solutions locally
Skills you'll master
Tools & Tech You'll Work With
Python
NumPy
Pandas
Matplotlib
scikit-learn
NW
Notebook workflow
Math for ML Lab
Real Dataset Training
Deep Learning Intro
Project Deployment
High-end Logic Prep
Math for ML Lab
Real Dataset Training
Deep Learning Intro
Project Deployment
High-end Logic Prep
Batch seats are limited