Data Science • Artificial Intelligence • Machine Learning

DATA SCIENCE
WITH AI & ML

Master Data Science, Artificial Intelligence, and Machine Learning through hands-on projects, real-world case studies, and practical learning. Build strong foundations in Python, Statistics, Data Visualization, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Generative AI.

4.8 average rating200+ practice exercises120+ hours of content

Starts at ₹47,999 ₹34,999

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Data Science with Artificial Intelligence and Machine Learning Course
Your Data Science with AI & ML Learning Journey

What You'll Learn in Data Science with AI & ML

Build practical expertise in Python, Statistics, SQL, Data Analysis, Machine Learning, Deep Learning, Natural Language Processing, and Artificial Intelligence. Learn to transform raw data into insights, build predictive models, and develop real-world AI-powered applications.

Python Programming & Data Science Foundations

Build a strong foundation in Python programming, data structures, functions, and object-oriented programming. Learn NumPy and Pandas for numerical computing, data manipulation, and practical analysis.

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Statistics, Probability, SQL & Data Analysis

Understand descriptive and inferential statistics, probability distributions, hypothesis testing, correlation, and regression. Use SQL, Matplotlib, and Seaborn to analyze and visualize real-world datasets.

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Data Preprocessing & Feature Engineering

Learn data cleaning, missing-value treatment, outlier detection, categorical encoding, feature scaling, normalization, and feature selection to prepare high-quality datasets for machine learning.

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Machine Learning & Predictive Modeling

Explore supervised and unsupervised learning, regression, classification, clustering, random forests, SVM, XGBoost, model evaluation, and hyperparameter optimization using Scikit-learn.

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Deep Learning, NLP & Generative AI

Understand neural networks, CNNs, RNNs, LSTMs, and Transformers. Work with TensorFlow, Keras, and PyTorch while exploring NLP, computer vision, large language models, and Generative AI applications.

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AI Projects, Model Deployment & Career Preparation

Develop practical AI and Machine Learning projects, build prediction APIs with FastAPI, create interactive applications with Streamlit, explore Docker and MLOps, and prepare a professional GitHub portfolio.

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Learn the Skills That Matter Most in Data Science, AI & Machine Learning

Explore the programming languages, analytical techniques, machine learning algorithms, deep learning frameworks, and AI development tools used in modern Data Science workflows.

Python Programming
Python Data Structures
NumPy
Pandas
SQL for Data Science
Statistics
Probability
Hypothesis Testing
Linear Algebra Fundamentals
Data Cleaning
Data Preprocessing
Exploratory Data Analysis
Matplotlib
Seaborn
Data Visualization
Feature Engineering
Feature Selection
Machine Learning
Scikit-learn
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Support Vector Machines
XGBoost
Clustering
Principal Component Analysis
Model Evaluation
Hyperparameter Tuning
Deep Learning
Artificial Neural Networks
TensorFlow
Keras
PyTorch
Computer Vision
Natural Language Processing
Transformers
Generative AI
Large Language Models
Prompt Engineering
AI Chatbot Development
FastAPI
Streamlit
Docker Fundamentals
MLOps Fundamentals
Git & GitHub
Real-World AI Projects
Technical Interview Preparation
Complete Data Science with AI & ML Learning Roadmap

Data Science with AI & ML Course Curriculum

Explore a structured six-month learning roadmap covering Python, Statistics, Machine Learning, Deep Learning, NLP, Generative AI, and practical AI application development.

6 Comprehensive Modules75 Curriculum Lessons6-Month Roadmap
Data Science with AI & ML
  • Introduction to Data Science, AI & Machine LearningFree
  • Applications of Data Science & Project Lifecycle
  • Python Setup, Jupyter Notebook & Google Colab
  • Python Variables, Data Types & Operators
  • Conditional Statements, Loops & Functions
  • Lists, Tuples, Dictionaries & Sets
  • Object-Oriented Programming in Python
  • File Handling, Modules & Exception Handling
  • NumPy for Numerical Computing
  • Pandas for Data Handling & Manipulation
  • Working with CSV, Excel, JSON & APIs
  • Mini Project: Python-Based Data Analysis

Data Science with AI & ML Lecture Preview

Discover the foundations of Data Science, Artificial Intelligence, and Machine Learning. Explore the learning roadmap and understand how these technologies solve real-world problems.

Introduction to Data Science, AI & MLDemo Video Coming Soon

What You Will Get

Complete Data Science with AI & ML Curriculum
Python Programming from Basics to Advanced
NumPy, Pandas & Data Visualization
Statistics, Probability & SQL
Supervised & Unsupervised Machine Learning
Advanced ML with XGBoost & CatBoost
Deep Learning with TensorFlow & PyTorch
Natural Language Processing & Computer Vision
Generative AI, Transformers & LLM Fundamentals
AI Chatbot & Recommendation System Projects
Model Deployment with FastAPI & Streamlit
MLOps, Docker & Cloud Deployment Fundamentals
Real-World Projects & Portfolio Preparation
Technical Interview Preparation

Data Science with AI & ML Course

Choose your preferred payment currency to enroll in the complete course.

Explore structured lessons, hands-on practice, real-world AI projects, and portfolio-building opportunities.

Download the Full Data Science with AI & ML Curriculum

Explore the complete learning roadmap, including Python Programming, Statistics, SQL, Machine Learning, Deep Learning, NLP, Generative AI, model deployment, and real-world AI projects.

Download AI & ML Course Brochure (PDF)

Data Science with AI & ML — Beginner to Advanced