Machine Learning

Machine Learning Course in AIT

Machine Learning is revolutionizing industries by enabling systems to learn and improve from data without explicit programming. At AIT, our Machine Learning program trains you in supervised, unsupervised, and deep learning techniques using Python, TensorFlow, Keras, and Scikit-learn. With real-world projects, expert mentorship, and career support, this course is designed for both beginners and professionals to excel in the world of Artificial Intelligence and Data Science.

Why Choose AIT’s Machine Learning Course?

Hands-On Projects

Build ML models with real-world datasets.

Expert Trainers

Learn from industry professionals and data scientists.

Career Support

Placement training, resume prep, and interview guidance.

Internship Support

Gain real-time exposure with internships.

Flexible Learning

Choose classroom, weekend, or online learning.

Flexible Timings

Morning, evening, and weekend batches available.

Skills & Tools You’ll Master

Python
TensorFlow
Keras
Scikit-Learn
Matplotlib
SQL

Curriculum Overview

  • Module 1: Introduction to Machine Learning – Overview of ML concepts, Python setup, and data exploration.
  • Module 2: Supervised Learning – Linear Regression, Logistic Regression, Decision Trees, Random Forests.
  • Module 3: Unsupervised Learning – Clustering (K-Means, Hierarchical), Dimensionality Reduction (PCA).
  • Module 4: Neural Networks & Deep Learning – Basics of ANN, CNN, RNN using TensorFlow & Keras.
  • Module 5: Model Evaluation & Optimization – Cross-validation, hyperparameter tuning, and metrics.
  • Module 6: Real-World Capstone Project – End-to-end ML project like sentiment analysis, fraud detection, or predictive analytics.

Frequently Asked Questions

1. Who can join this course?

Students, graduates, IT professionals, and beginners interested in AI & ML.

2. Do I need coding experience?

Basic programming knowledge is helpful, but Python is taught from scratch.

3. Is this course online or offline?

Both online and offline classroom options are available.

4. What is the duration of the course?

Typically 2–2.5 months, with weekday and weekend options.

5. Do you provide certification?

Yes, an industry-recognized certificate will be awarded after completion.

6. What projects will I work on?

Projects include predictive analytics, image recognition, and NLP tasks.

7. Can working professionals attend?

Yes, we offer flexible timings and weekend batches for professionals.