AI & ML · Chennai

Data Science & AI
Training & Internship

Learn. Build, Intern. Get Interview Ready.

Build a foundation in machine learning and explore deep learning, natural language processing, and computer vision.

6 Months
Program Duration
4 Months
Technical Training
2 Months
Project Internship
Offline
Vadapalani, Chennai

Next Data Science Batch

Start Date
Starting Soon
Mode
Offline – Chennai
Duration
6 Months (4M Training + 2M Internship)
Check Availability

Limited Seats Only!

Target Audience

Who Is This Program For?

Tailored for students, fresh graduates, and career switchers seeking hands-on project exposure. Gain practical industry experience, build a strong portfolio, and prepare for premium placement opportunities.

Some Development Knowledge

I understand the basics and want to work on real, complex projects to gain authentic industry exposure.

Looking for a Job

I need a solid portfolio, internship experience, and intensive interview preparation to launch my career.

Tech Stack

Tools you will master

Python
NumPy
Pandas
Scikit-Learn
TensorFlow
PyTorch
SQL
Power BI
TRAINING METHODOLOGY

Our Daily Learning & Career Readiness Structure

Structured 3-hour daily learning modules combined with continuous weekend evaluations for 100% placement readiness.

A Day at iNetz

3 Hours · 3 Skills · One Career Goal

Daily Workflow
1 Hour

Technical Learning

Concepts & dev

1 Hour

Communication

Soft skills & prep

1 Hour

Problem Solving

Challenges & logic

➔

Every Weekend – Industry Evaluation

Weekend Special
Assessment
Concept
Presentation
Code Review
Mock Interview

Career Readiness Evaluation

Continuous skill evaluation for real interview readiness.

Technical Concepts
Coding Skills
Projects & GitHub
Communication
Mock Interviews
90%Career
Readiness
Get Interview
Ready!
GITHUB PORTFOLIO BUILDER

Graduate with 3+ Industry-Grade Projects on GitHub

All capstone code repositories are reviewed by senior developers to ensure clean code standards.

FEATURED EVENTS

AI & ML Syllabus

Module 1 — AI and Python Foundations

Module 1 — AI and Python Foundations

4 Weeks
3 Topics
Online / Offline

MODULE TOPICS OVERVIEW

  • AI vs ML vs deep learning

    Day 1
  • Python and data libraries

    Day 2
  • Applied use cases

    Day 3
Module 2 — Data and Statistics

Module 2 — Data and Statistics

4 Weeks
3 Topics
Online / Offline
Module 3 — Machine-Learning Workflow

Module 3 — Machine-Learning Workflow

4 Weeks
3 Topics
Online / Offline
Module 4 — Supervised Learning

Module 4 — Supervised Learning

4 Weeks
3 Topics
Online / Offline
Module 5 — Unsupervised Learning

Module 5 — Unsupervised Learning

4 Weeks
3 Topics
Online / Offline
Module 6 — Deep Learning

Module 6 — Deep Learning

4 Weeks
3 Topics
Online / Offline
Module 7 — Applied AI

Placement Drive

4 Weeks
3 Topics
Online / Offline
Module 8 — Capstone

Module 8 — Capstone

4 Weeks
2 Topics
Online / Offline
HANDS-ON LEARNING • CAPSTONE PROJECTS

Build Real-World Production Applications

Gain portfolio-ready experience by building industry-standard capstone applications from scratch under 1-on-1 mentor guidance.

Keyan Software Solution
Live Client Project
Corporate Platform

Keyan Software Solution

Next.jsTailwind CSSNode.jsMongoDB
View Live Project
Smart Hostel Management System
Live Client Project
Management Portal

Smart Hostel Management System

JavaSpring BootReactTailwind CSS
View Live Project
Enterprise CRM Solution
Live Client Project
SaaS Application

Enterprise CRM Solution

JavaSpring BootReactTailwind CSS
View Live Project
RECOGNITION & CERTIFICATION

Earn an Industry-Recognized Certificate

Validate your technical skills and showcase your accomplishment to top recruiters worldwide.

OFFICIAL CERTIFICATE

AI & ML Certification

Demonstrate core machine-learning skills and practical AI application development through assessments and a capstone.

Industry Accredited
LinkedIn Shareable
Certificate Sample
Verified Certificate
PLACEMENT ASSISTANCE

Achieving Career Milestones Together

Real success stories of candidates trained, mentored, and successfully placed at top tech companies through iNetz programs.

1 of 3
iNetz|Technologies
iNetz Student
Data Analyst Intern

Jack

Stats Perform
ProgramData Analytics
Year of Passing2025
LocationChennai
Jack
LEARN • BUILD • GET PLACED
iNetz|Technologies
Free Placement Drive
Business Analyst

Viswaa

Shreyas Infotech
DomainBusiness Analyst
QualificationB.E (CSE)
LocationChennai
Viswaa
SKILL RECOGNIZED • CONNECTED
iNetz|Technologies
iNetz Student
Software Developer

Mahalakshmi

Xmedia
ProgramFullstack Developer
Year of Passing2026
LocationChennai
Mahalakshmi
LEARN • BUILD • GET PLACED
iNetz|Technologies
Free Placement Drive
AI / ML Engineer

Karthik Raja

Agilysys
DomainData Science & AI
QualificationB.E (AI & DS)
LocationBangalore
Karthik Raja
SKILL RECOGNIZED • CONNECTED
iNetz|Technologies
iNetz Student
Software Engineer

Amjath Khan

Zoho Partners
ProgramFullstack Developer
Year of Passing2025
LocationChennai
Amjath Khan
LEARN • BUILD • GET PLACED
STUDENT REVIEWS & SUCCESS STORIES

What Our Alumni Say About Us

Real feedback from graduates who upskilled with Inetz Technologies and launched thriving careers in top IT companies.

Suresh Kumar

Suresh Kumar

Python Developer

4.9 / 5.0

"Comprehensive coverage of database indexing, Django models, and FastAPI async services. Highly recommended for anyone wanting a solid career in Python engineering."

Verified Student GraduateInetz Tech Alumni
Vigneshwaran K

Vigneshwaran K

Python Full Stack Developer

4.9 / 5.0

"The Python Full Stack curriculum covers Django and FastAPI in great practical detail. Learning to connect a React frontend with a clean DRF backend helped me build production-ready projects for my portfolio."

Verified Student GraduateInetz Tech Alumni
FREQUENTLY ASKED QUESTIONS

Got Questions? We've Got Answers.

Everything you need to know about our industry-oriented training, hands-on capstone projects, and placement assistance.

1

Do I need to know Python already?

No. Python and data foundations are covered before model building.

2

Does the course cover deep learning?