AI Machine Learning & Deep Learning Course Online

AI (Machine Learning & Deep Learning)

Learn how to use data the smart way with our hands-on Machine Learning & Deep Learning course. This course takes you step by step — from basics to advanced — with real-world projects, coding practice, and practical applications.

Step-by-step learning

Focus on coding

Industry tools

Job-ready skills

AI Machine Learning Deep Learning Course

AI & ML

From Basics to Advanced

AI (Machine Learning & Deep Learning) Program

By the end, you'll be confident in building and deploying AI models just like in industry. This program offers step-by-step learning from beginner to advanced, focus on coding and projects, industry tools and workflows, and job-ready AI skills.

Who Can Join?

Students and freshers who want to start in AI

Data scientists and ML engineers in the making

Software developers who want to add ML to apps

Analysts or engineers who want to automate tasks

Anyone who prefers learning by doing

What You'll Learn

We'll cover everything from basic ML concepts to advanced deep learning systems:

Supervised Learning

Regression & Classification models

Unsupervised Learning

Clustering & Dimensionality Reduction

Model Improvement

Testing, tuning & choosing the best models

Data Handling

Feature engineering, anomaly detection & explainability

Deployment

Making ML models usable in real applications

Deep Learning

Neural networks, CNNs for images, RNNs & LSTMs

Skills You'll Gain

By the end of the course, you'll know how to:

Build ML models using Python and scikit-learn

Create and deploy deep learning models with TensorFlow/Keras

Use advanced techniques like cross-validation and ensemble methods

Clean, prepare, and visualize real-world datasets

Deploy AI solutions using APIs or dashboards

Apply CNNs for images and RNNs/LSTMs for text and time-series data

Hands-On Projects

This course is project-driven, so you'll practice on real problems:

House Price Prediction

Regression analysis with real estate data

Titanic Survivor Classification

Classification model for survival prediction

Customer Segmentation

Clustering analysis for business insights

Credit Card Fraud Detection

XGBoost for anomaly detection

Sentiment Analysis

LSTM for text classification

Fashion Image Classification

CNN for computer vision

Capstone Project

Choose healthcare, e-commerce, or NLP domain

COURSE BENEFITS

PLACEMENT ASSISTANCE

*MIN 5 COMPANY WALK-INS

GitHub portfolio and Job-ready resume to enhance career prospects.

Course Features

Resume & LinkedIn Building

1:1 Mock Interviews

100% Hands-on

Certification

1000+ students enrolled