AI Course · Intermediate
Turn data into predictions — build, evaluate and deploy ML models the way industry does.
4.9/5 from 750+ Google reviews50,000+ alumni since 2007
Machine learning powers recommendations, fraud detection, demand forecasting and credit scoring. This course builds strong ML fundamentals with Python, statistics and scikit-learn, then moves into deep learning and model deployment.
You will work with real datasets from agriculture, retail, finance and healthcare, and finish with a deployed ML project, a GitHub portfolio and placement support from our team.
Not sure this is the right course? Talk to a counsellor for free or compare all AI courses.
6 core outcomes, each practised through hands-on projects and weekly mentor reviews.
Clean, explore and engineer features from messy datasets.
Build regression and classification models and pick the right one.
Segment customers and detect anomalies with clustering.
Use cross-validation, metrics and tuning to avoid overfitting.
Train neural networks for images, text and time series.
Serve models through APIs and simple web apps.
3 phases · 6 modules · 10+ projects. Open any module to see its topics and the project you will build.
Project: Retail sales analysis
Project: Feature engineering notebook
Project: Loan-default predictor
Project: Customer segmentation for an online store
Project: Crop-disease image classifier
Project: Capstone: a deployed ML product
Hands-on lab time with 8 tools — the same stack interviewers ask about.
Python
Core language for every project
Pandas
Data wrangling
scikit-learn
ML algorithms & pipelines
XGBoost
Gradient-boosted models
TensorFlow
Deep learning with Keras
Jupyter
Notebooks & experiments
MLflow
Experiment tracking
SQL
Querying data
Wherever you are starting from, there is a batch and a pace that fits.
Turn your maths background into a high-growth career.
Move from reporting what happened to predicting what will.
Add ML to the products you already build.
A structured path with strong fundamentals and mentor support.
Prerequisites (Intermediate): Basic programming helps. Need a refresher? Join our free 2-week Python bridge module first.
Check My EligibilityEvery batch is led by a senior mentor and supported by teaching assistants, so your doubts are cleared the same day.
Head of Data Science & AI
PhD in machine learning with industry experience in forecasting and computer vision. Known for turning complex maths into clear, code-first lessons that stick.
Same curriculum, same mentors — choose classroom, live online or a mix of both.
Next batch
New batches start every month
Classroom and live online seats are limited per batch.
Weekday Morning
Mon – Fri · 9:00 – 11:00 AM
ClassroomWeekday Evening
Mon – Fri · 5:00 – 7:00 PM
ClassroomWeekend
Sat – Sun · 10:00 AM – 1:00 PM
Classroom + LiveLive Online
Mon – Fri · 8:00 – 9:30 PM
Live onlineClassroom batches at every branch · live online batches for Haryana, Himachal, J&K and Delhi NCR.
Timings can vary by branch — a counsellor will confirm the batch that suits you.
Finish with a verifiable certificate and a placement team that works with you until you land the role.
*Based on eligible students of recent batches. Individual outcomes vary.
Mentors review your resume, GitHub and LinkedIn until they are interview-ready.
Technical and HR mock rounds with feedback from working AI engineers.
Direct referrals to 500+ hiring partners across North India and remote roles.
Top performers join live client projects and earn an experience letter.
Rated 4.9/5 by 750+ students on Google.
“The loan-default and segmentation projects were exactly the kind of work I do now. Weekly code reviews made a huge difference.”
Megha Arora
ML Analyst · Chandigarh
“I built 11 AI apps during the course, including a PDF chatbot my college now uses. That project alone got me through three interview rounds.”
Gurpreet Singh
AI Engineer (Fresher) · Jalandhar
“My 6-month AI training covered everything from Python to deep learning. The capstone report was appreciated by my university panel.”
Sukhmani Gill
B.Tech Industrial Trainee · Amritsar
Straight answers on eligibility, batches, certification and placements.
Still have a question?
Counsellors are available Mon – Sat: 9:00 AM – 7:00 PM.
Data Science focuses on analysis, dashboards and business insight. Machine Learning focuses on building predictive models. A counsellor can suggest the right fit in a free session.
No. A laptop with 8 GB RAM is enough. Heavy training runs on free cloud GPUs like Google Colab.
Machine Learning Engineer, Junior Data Scientist, entry-level AI Engineer and ML Analyst roles.
Yes. Every AI course includes 100% placement assistance — resume and portfolio reviews, mock interviews and referrals through our 500+ hiring partners.
Yes. Book a free demo using the form on this page or call us. You can attend at any branch or join a live online class.
Book a free counselling session or message us on WhatsApp. A counsellor will share the current fee, EMI options and merit scholarships for your batch.
Book a free demo class, meet your mentor and get a personalised learning plan — no commitment.