Data Science & Artificial Intelligence Course

Master Data Science & Artificial Intelligence with Python, Machine Learning, Deep Learning, and Generative AI. Build real-world AI models and become an industry-ready data scientist.

Duration 5 Months (150 Hours)

Mode Live Online / Offline

4,800+ Students

450+ Partners

89% Placement

Fresher / Entry Level

₹5 - 8 LPA

0-2 years experience

Junior Data Scientist
Data Analyst
ML Associate

⭐ Most Common

Mid Level

₹10 - 18 LPA

2-5 years experience

Data Scientist
Machine Learning Engineer
AI Specialist

Senior / Expert Level

₹20 - 45+ LPA

5+ years experience

Lead Data Scientist
AI Research Scientist
Chief Data Officer

Data Scientist

Machine Learning Engineer

AI Engineer

Data Analyst

Business Intelligence Analyst

Deep Learning Engineer

NLP Engineer

Module 1: Python Programming for Data Science

Python Basics - Variables, Data Types, Operators
Control Flow - if, else, loops, break, continue
Functions, Lambda, Map, Filter, Reduce
Data Structures - Lists, Tuples, Dictionaries, Sets
File Handling, Exception Handling
NumPy - Arrays, Mathematical Operations
Pandas - Series, DataFrame, Data Manipulation
Object Oriented Programming in Python

Module 2: Mathematics & Statistics for Data Science

Linear Algebra - Vectors, Matrices, Eigenvalues
Calculus - Derivatives, Integrals, Gradients
Descriptive Statistics - Mean, Median, Mode, Variance
Probability - Distributions, Bayes Theorem
Inferential Statistics - Hypothesis Testing, p-value
Correlation & Regression Analysis

Module 3: Data Manipulation & Visualization

Matplotlib - Line, Bar, Scatter, Histogram Plots
Seaborn - Statistical Data Visualization
Plotly - Interactive Dashboards
Power BI / Tableau Basics
EDA (Exploratory Data Analysis) Techniques

Module 4: Machine Learning Fundamentals

Introduction to ML - Supervised, Unsupervised, Reinforcement
Linear Regression - Simple & Multiple
Logistic Regression for Classification
Decision Trees & Random Forest
SVM (Support Vector Machines)
KNN & Naive Bayes
Clustering - K-Means, Hierarchical, DBSCAN
Feature Engineering & Selection
Model Evaluation - Accuracy, Precision, Recall, F1, ROC

Module 5: Advanced Machine Learning & Deep Learning

Introduction to Neural Networks
Activation Functions, Backpropagation
TensorFlow & Keras Basics
CNN (Convolutional Neural Networks) - Image Recognition
RNN, LSTM - Time Series & Text Data
Transfer Learning & Pre-trained Models
Model Deployment - Flask, FastAPI, TensorFlow Serving

Module 6: Generative AI & LLMs

Introduction to Generative AI & LLMs
OpenAI GPT, ChatGPT API Integration
Prompt Engineering Techniques
LangChain for LLM Applications
Hugging Face Transformers
Building Chatbots & AI Assistants
RAG (Retrieval-Augmented Generation)

Module 7: Big Data & Cloud for Data Science

Introduction to Big Data - Hadoop, HDFS
Apache Spark - RDD, DataFrame, Spark SQL
AWS Cloud for Data Science - S3, EC2, SageMaker
SQL for Data Science - Advanced Queries
MongoDB & NoSQL Databases

Module 8: Real-Time Projects & Capstone

Project 1: Sales Prediction using Regression
Project 2: Customer Churn Prediction
Project 3: Image Classification using CNN
Project 4: Sentiment Analysis with NLP
Project 5: AI Chatbot using GPT API
Capstone Project - End to End Data Science Solution

Expert Trainers

Learn from industry professionals with 10+ years of experience in Data Science & AI

Hands-on Projects

Work on 5+ real-time industry projects with live datasets and deployment

Industry Certification

Get globally recognized IBM accredited certification in Data Science

100% Placement Support

Tie-ups with 450+ MNCs for Data Science & AI job placements

Resume Building

Professional resume & LinkedIn profile optimization for Data roles

Mock Interviews

Regular mock interviews with detailed feedback from industry experts

Sales Prediction & Forecasting

Build a machine learning model to predict future sales using historical data with regression algorithms and time series analysis.

Python Pandas Scikit-learn Matplotlib Prophet

Image Classification System

Create a deep learning model to classify images into multiple categories using Convolutional Neural Networks (CNN).

Python TensorFlow Keras CNN OpenCV

AI Chatbot with GPT

Develop an intelligent chatbot using OpenAI GPT API and LangChain for customer support automation.

Python OpenAI API LangChain Flask Streamlit

Placement Support Includes:

Resume & LinkedIn Profile Building
Aptitude & Technical Training
Mock Interviews with Industry Experts
Soft Skills & Communication Training

Our Hiring Partners:

500+ Hiring Partners
Unlimited Interview Opportunities
Job Portal Access
Life-long Placement Support

What are the prerequisites for Data Science course?

Basic programming knowledge is helpful but not mandatory. We start from Python basics and gradually move to advanced concepts.

What is the duration of the Data Science course?

The course duration is 5 months (150 hours) with flexible batch timings - Weekdays or Weekends.

Will I learn Generative AI and LLMs?

Yes, the course covers Generative AI, GPT APIs, LangChain, and building AI chatbots.

What projects will I build?

You will build 5+ projects including Sales Prediction, Customer Churn, Image Classification, Sentiment Analysis, and AI Chatbot.

Is placement assistance provided?

Yes, we provide 100% placement assistance with 450+ hiring partners for data science roles.

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