Data Science & Machine Learning

Data Science & AI Course in Coimbatore

Learn Python, statistics, machine learning, deep learning and generative AI, and build real-world AI projects from data to deployed model. Practical, offline, one-to-one training.

●100% Offline●1-to-1 Training●Full-Day Practical Classes●Real-World AI Projects●Generative AI

Book a Free Demo Session

Sit with a developer for one session and see how 1-to-1 training works.

From Data to Intelligent Applications

Data science uses data to predict, classify and recommend: which customers might leave, what sales will look like next month, what an image contains. AI takes this further with models that understand language and generate content.

This data science and AI course takes you from Python and statistics through machine learning and deep learning to generative AI. You build and evaluate real models, and learn to deploy them so applications can use them.

Mode
100% offline, face-to-face
Training
1-to-1 with a developer
Schedule
Full-day practical classes
Covers
ML, deep learning and generative AI
Location
Nava India, Peelamedu, Coimbatore
Curriculum

What You Will Learn

A complete path from Python basics to deployed AI models.

  1. 01

    Python for Data Science

    • Python programming fundamentals
    • NumPy and Pandas
    • Working with real datasets
  2. 02

    Statistics & Probability

    • Descriptive statistics
    • Probability and distributions
    • Hypothesis testing basics
  3. 03

    Data Analysis & Visualization

    • Cleaning and preparing data
    • Exploratory data analysis
    • Charts with Matplotlib and Seaborn
  4. 04

    Machine Learning

    • Regression and classification
    • Clustering
    • Model evaluation with Scikit-learn
  5. 05

    Deep Learning

    • Neural network fundamentals
    • Image and text models
    • TensorFlow / Keras
  6. 06

    Generative AI

    • How large language models work
    • Prompt engineering
    • Building with AI APIs
  7. 07

    Deploying Models

    • Serving a model behind an API
    • Connecting models to apps
    • Monitoring results
  8. 08

    Career Preparation

    • Data science interview preparation
    • Mock interviews and aptitude
    • Presenting your projects
Technologies

Technologies You Will Use

  • Python
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Statistics
  • Scikit-learn
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • Keras
  • Generative AI
  • AI APIs
  • SQL
  • Git
Projects

AI Projects You Will Build

Models trained on real data, evaluated and put to use.

Machine Learning

Prediction model behind an API

Train, evaluate and serve a model that a web app can call.

Deep Learning

Image classifier

A neural network that recognises categories of images.

Generative AI

Document Q&A assistant

Ask questions of your own documents and get grounded answers.

Why GT

Why Students Choose GT Software Academy

1-to-1 Training

A developer works with you individually, at your pace, on your code.

Full-Day Practical Classes

Spend the day building applications instead of attending short theory classes.

AI-Integrated Learning

Use AI tools for coding, debugging, documentation and testing, the way modern developers work.

Learn from Working Professionals

Learn from professionals with real software development experience.

Who can join

Who Can Join?

  • Students & GraduatesBuild practical skills beyond the academic curriculum.
  • FreshersDevelop real projects and become interview-ready.
  • Working ProfessionalsUpgrade your skills or move into software development.
  • Career SwitchersMove into software development with guided, practical training.
  • Non-IT GraduatesStart from programming fundamentals and progress to full applications.
FAQ

Frequently Asked Questions

What is the difference between data science and data analytics?

Data analytics explains what happened using reports and dashboards. Data science uses statistics and machine learning to predict what will happen and to build AI models.

Does the data science course cover machine learning and AI?

Yes. It covers machine learning, deep learning and generative AI, with hands-on projects for each.

Do I need a maths background for data science?

Basic school maths is enough to start. Statistics and the maths behind machine learning are taught step by step.

Is the data science course online or offline?

GT focuses on 100% offline, face-to-face practical training at our Peelamedu campus in Coimbatore.

Is part-time training available?

Yes. College students can join part-time training around their college timings, and working professionals can attend evening sessions from 4 PM to 7 PM.

Ready to Become an Industry-Ready Developer?

Practical, full-day, one-to-one training at our Peelamedu campus, Coimbatore.