StudentAI engineer at Aiinfox
After my learning journey, I got the opportunity to join Aiinfox as an AI engineer.
Rekha · Former student, now at Aiinfox
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Beginner to Advanced
Machine Learning Course in Zirakpur
Industry-ready Machine Learning training with Python, real-world projects, and career guidance at Aiinfox Academy
Taught in person at Sector 75, Mohali — about 19 km by road from Zirakpur
Book your free demo class
- Campus: Sector 75, Mohali (near Chandigarh, about 11 km)
- 4.2 on Google (25 reviews)
- Free demo class
- Mon–Fri 9:30 AM–6:30 PM
Duration
3 or 6 Months
Level
Beginner to Advanced
Fee Range
₹35,000 (3 months) · ₹55,000 (6 months)
Course Overview
About This Course
Machine Learning is one of the most transformative technologies of the decade — powering recommendation engines at Netflix, fraud detection in banking, medical diagnostics in healthcare, and autonomous systems across industries. If you are looking for the best machine learning course in Zirakpur, Aiinfox Academy delivers a comprehensive, job-oriented ML training program with Python that takes you from foundational concepts to production-ready skills.
Our ML course follows the Machine Learning Engineer learning path, one course at a time. You explore the Housing Prices dataset in Python, fit house price regressions with Ridge and Lasso, build a customer churn prediction model, and learn the mathematics behind the machine by predicting loan default with Scikit-learn. Every course has two lessons and one project, so you build your portfolio as you go.
The 3-month programme covers months 1–3, the Foundations phase. The 6-month programme is the full path: after Foundations come advanced machine learning with SQL, neural networks and deep learning with Keras, and AI ethics and deployment, where you deploy an image classifier as a FastAPI service, and then a capstone AI app you present to a panel. A machine learning training institute serving Chandigarh, Mohali, Panchkula, and Zirakpur, Aiinfox Academy combines expert-led classroom training with career guidance.
Why Choose Us
Why Choose Aiinfox Academy?
A Clear ML Path, One Course at a Time
The course follows the Machine Learning Engineer path in our learning paths PDF: Python and exploratory analysis, regression, predictive models, the mathematics behind the machine, then advanced machine learning with SQL, deep learning with Keras, deployment with FastAPI and a capstone. Each course takes about 3 weeks.
100% Hands-On, Project-Based Training
Every course ends in a project you build yourself, on real datasets such as housing prices and customer churn: 4 in the 3-month programme and 8 in the 6-month programme, the last one your capstone. No passive lectures or death-by-PowerPoint.
Expert Trainers with Industry Experience
Learn from instructors who have built and deployed machine learning systems in production environments across industries — not just academics who teach from textbooks.
Career Guidance & Interview Prep
Resume review, mock interviews, interview preparation, and ML portfolio projects you can show. We help you prepare; we do not guarantee placement.
Flexible Batch Timings for Working Professionals
Choose from our weekday batches, Monday to Friday. Our classroom-based ML training at our Mohali center is designed to fit around your existing work or college schedule.
A Certificate for Every Course
You earn a certificate for every course you complete, course by course from the first one onward, not one certificate at the very end.
Curriculum
Course Modules
The Machine Learning Engineer path from our learning paths PDF: 8 courses in order, about 3 weeks each, with two lessons and one project in every course. The 3-month programme is the Foundations phase; the 6-month programme is the full path, ending with a capstone you present to a panel.
Foundations
Months 1–3 · Associate Track
- 01
Python & the ML Mindset
Project: Exploratory Analysis of the Housing Prices Dataset
3 weeks
- 02
Data In, Signal Out
Project: House Price Regression with Ridge and Lasso
3 weeks
- 03
Your First Predictive Models
Project: Customer Churn Prediction Model
2 weeks
- 04
The Mathematics Behind the Machine
Project: Predicting Loan Default with Scikit-learn
3 weeks
Professional
Months 4–6 · Professional Track
- 05
Advanced Machine Learning & SQL
Project: Churn Model v2 and SQL Analytics
3 weeks
- 06
Neural Networks & Deep Learning
Project: Handwritten Digit Recognition with Keras
3 weeks
- 07
Shipping AI: Ethics & Deployment
Project: Deploy an Image Classifier as a FastAPI Service
3 weeks
- 08
Capstone: Build & Deploy an AI App
Project: Capstone Submission and Panel Presentation
4 weeks
Free download · 12 pages
Get the learning paths PDF
See exactly what you will study before you visit: every course in order and the project you build in each one.
- Every path, month by month
- The project you build in each course
- Emailed to you, free
Outcomes
What You'll Learn
Python and the ML mindset: an exploratory analysis of the Housing Prices dataset
Data in, signal out: house price regression with Ridge and Lasso
Your first predictive models: a customer churn prediction model
The mathematics behind the machine, applied to predicting loan default with Scikit-learn
Advanced machine learning and SQL: Churn Model v2 and SQL analytics
Neural networks and deep learning: handwritten digit recognition with Keras
Shipping AI: ethics and deployment, with an image classifier deployed as a FastAPI service
Build and deploy an AI app as your capstone, and present it to a panel
Careers
Career Opportunities
Machine Learning Engineer
Data Scientist
Python Developer (AI/ML)
AI Engineer
Data Analyst
ML Ops Engineer
Requirements
Prerequisites
No prior machine learning experience required — we start from the fundamentals
Basic computer literacy and familiarity with using a laptop or desktop
High school level mathematics (algebra and basic statistics) is helpful but not mandatory
About 8 to 10 hours a week for the lessons and the project in each course
A laptop with internet access for classroom exercises and assignments
Tech Stack
Tools & Technologies You'll Master
Python
Scikit-learn
SQL
Keras
FastAPI
Location
Taking the Machine Learning course from Zirakpur
There is no Zirakpur branch: the Machine Learning course is taught in person at Plot E-302, Vista Tower, Industrial Area, Sector 75, Mohali, about 19 km by road from central Zirakpur.
From central Zirakpur the route is about 19 km. It takes NH5 (Dakshin Marg) into Chandigarh, then Himalaya Marg and SH-12A to Sector 75, Mohali.
The same course for students in:
Student Stories
Hear it from our students
Short videos recorded at our Sector 75, Mohali classroom. No scripts, just students talking about the course in their own words.
Want to see the classroom they are talking about? The demo class is free, with no obligation to enrol.
FAQs
Frequently Asked Questions
Travelling in from Zirakpur, and what students ask about the Machine Learning course.
Still have questions?
Call us, or book a free demo class and ask in person at Vista Tower, Sector 75, Mohali.
Is there an Aiinfox Academy centre in Zirakpur?
No. The academy has one classroom, at Vista Tower, Sector 75, Mohali, about 19 km by road from central Zirakpur.
How do I travel from Zirakpur to the academy?
Take NH5 (Dakshin Marg) into Chandigarh, then Himalaya Marg and SH-12A to Sector 75. The classroom is at Plot E-302, Vista Tower.
What is the best machine learning course in Zirakpur?
Aiinfox Academy offers one of the best machine learning courses in Zirakpur. The course follows the Machine Learning Engineer path: Python and exploratory analysis, regression with Ridge and Lasso, churn prediction, the mathematics behind the machine with Scikit-learn, advanced machine learning with SQL, neural networks with Keras and deployment with FastAPI, with a project in every course, expert trainers and career guidance.
What is the fee for the ML course in Zirakpur?
The fee is ₹35,000 for the 3-month programme and ₹55,000 for the 6-month programme. Instalment options are discussed on the demo call.
Do you provide career guidance after the machine learning course?
We provide career guidance — resume review, mock interviews and interview preparation. We do not guarantee placement.
Is machine learning a good career option in 2026?
Absolutely. Machine learning is one of the highest-paying and fastest-growing career fields globally. With businesses across healthcare, finance, e-commerce, and every major industry adopting ML, trained professionals have excellent job security and growth potential.
Can beginners with no coding experience join this ML course?
Yes, our machine learning course is designed to be beginner-friendly. The first course, Python & the ML Mindset, starts with Python and exploring a real dataset before you move on to models. No prior coding or ML experience is required. All you need is a laptop, internet access, and a willingness to learn and practice consistently.
What is the duration of the ML course at Aiinfox Academy?
The 3-month programme (₹35,000) is months 1–3 of the Machine Learning Engineer path, the Foundations phase: “Python & the ML Mindset”, “Data In, Signal Out”, “Your First Predictive Models” and “The Mathematics Behind the Machine”. The 6-month programme (₹55,000) is the full path: the same 4 courses, then “Advanced Machine Learning & SQL”, “Neural Networks & Deep Learning” and “Shipping AI: Ethics & Deployment”, ending with a capstone project you present to a panel. Each course takes about 3 weeks, with two lessons and one project; plan on 8 to 10 hours a week, and you earn one certificate for every course you complete.
Is the ML training online or offline in Zirakpur?
We offer offline, classroom-based machine learning training at our center in Mohali, easily accessible from Chandigarh, Panchkula, and Zirakpur. Classroom training ensures direct interaction with trainers, collaborative project work, and a structured learning environment that produces significantly better outcomes than self-paced online courses.
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Ready to Start Your Machine Learning Course in Zirakpur Journey?
Book a free demo class and see how the course is taught at our Sector 75, Mohali classroom.