Gen AI-powered Data Science with Machine Learning

    6-Month Intensive, Industry-Built Program

    Masterclasses by IIT faculty and Senior Industry Experts

    Build a Real Portfolio with Industry Projects and Business Case Studies

    Hands-on with Python, SQL, Power BI, ML & GenAI tools

    Placement Support - Interview Prep, CV Reviews and Hiring Partner Network

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WHAT YOU WILL BUILD

Learn. Apply. Grow.

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Build Your Own AI Agents & RAG Applications

Work on Live Industry Projects & Capstone Projects

Build End-to-End Data Science Solutions

Build Interactive Dashboards with Power BI & Tableau

Build Predictive Models for Real Business Problems

Build Production-Ready AI Applications

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About the Collaboration
Built with iHUB DivyaSampark, IIT Roorkee - The Institute's Technology Innovation Hub.
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LEARNER STORIES

What 6 Months Looks Like When You Stop Overthinking It.

WHO THIS IS FOR

Built for Ambitious Learners

Get Certified by upGrad & iHUB DivyaSampark, IIT Roorkee

HOW WE COMPARE

The Offline Edge, Side by Side.

Doubt Resolution

Mentorship

Hands-on Practice

Peer Network

Learning Environment

Industry Leader Access

AI Tool Access & Value

Campus Immersion

Placement Assistance

This Program

Resolved instantly, in person

Real classrooms. Real faculty. Real-time guidance.

Live projects with real-time feedback

Daily interaction, real collaboration

Structured, distraction-free campus setting

CXO, MNC mentor & industry leader sessions

AI tools & tokens worth up to ₹7.5L. 3 months free access.

Optional Campus Immersion available

100% Placement Assistance + 3 years job portal access

Other Programs (Online)

Submitted as a query, answered later

Limited to scheduled video calls

Self-paced, minimal guidance

Limited to online forums

Flexible, but distraction-prone

Trainer-led sessions only

Additional cost for AI tools, limited or no token access.

Not Offered

Limited or none

ABOUT THIS COURSE

Program Highlights

PROGRAM CURRICULUM

Six Modules. Six Milestones. A Career You Can Build On.

Study

  • End-to-end ETL & Data Modeling
  • DAX Fundamentals to Advanced Use Cases
  • Power BI & Tableau Visual Analytics
  • Data Storytelling With Gen AI-assisted Narratives

Create

  • Home Loan Default Dashboard (DAX Case Study)
  • Retail & Superstore Profitability Dashboards
  • Dynamic Tableau Dashboards with Parameters & Joins

Attempt

  • 100+ DAX & BI Questions
  • Dashboard Critique & Storytelling Exercises
  • BI Scenario-based Case Studies
  • 4 Weekly Tests

Study

  • Relational Databases & ER Modeling
  • Advanced SQL: Joins, Subqueries, Window Functions
  • Query Optimization Using Gen AI
  • SQL + Azure Cloud Integration

Create

  • RSVP Movie Database
  • Marketplace Demand-supply Analysis
  • Cloud-connected Analytics Workflows

Attempt

  • 200+ SQL Interview Questions
  • Complex Joins & Case-based Problems
  • 1 Employability Test
  • 2 Weekly Tests

Study

  • Python Fundamentals, Logic & Data Structures
  • Functional Programming & OOP
  • NumPy, Pandas & Data Visualization
  • EDA Techniques with GenAI Support

Create

  • Credit Risk Analysis
  • Uber Trip Demand Analysis
  • Stock Market Analysis Using Yfinance

Attempt

  • 250+ Python Coding Questions
  • OOP & EDA Interpretation Tests
  • Leetcode & Real-dataset Challenges
  • 1 Employability Test

Study

  • Descriptive & Inferential Statistics
  • Hypothesis Testing, ANOVA & Chi-square
  • Statistical Interpretation Using AI Tools

Create

  • Customer Churn Distribution Analysis
  • Bank Credit Scoring Statistical Report

Attempt

  • Statistics Problem Sets
  • Business Interpretation & Decision-based Tests

Study

  • 18+ ML Algorithms & ML Pipelines
  • Feature Engineering & Hyperparameter Tuning
  • Deep Learning: CNNs, RNNs & LSTMs
  • Model Explainability (SHAP, LIME)
  • Generative AI, RAG & LLM Workflows
  • Prompt Engineering for NLP, Vision & AI Agents
  • LangChain & Retrieval Systems
  • Hallucination Detection & Responsible AI
  • AI Agents & Autonomous Workflows

Create

  • Credit Risk & Churn Prediction ML Models
  • Demand Forecasting System
  • LLM-powered Apps (Chatbots, Semantic Search)
  • AI Applications using RAG & LLMs
  • Model Deployment using Flask, Streamlit & Gradio

Attempt

  • ML & AI Case-study Questions
  • Model Evaluation & Explainability Tests
  • End-to-End Capstone Project

CAMPUS IMMERSION EXPERIENCE (OPTIONAL)

Campus Immersion

HOW ADMISSION WORKS

A Simple, Guided Process to Find The Right Fit.

Please find below the detailed steps to be followed as a part of the admission process.

Start Your Application

Follow the below application process to begin your enrollment process. 

Mentored by Top Professionals

All Your Questions, Answered

This program covers the complete Data Science lifecycle, from data analysis and visualization to Machine Learning and Generative AI. You will learn in-demand tools and technologies such as Python, SQL, Power BI, Tableau, Machine Learning, Deep Learning, and Large Language Models (LLMs).

The curriculum also includes Exploratory Data Analysis (EDA), statistical techniques, predictive modeling, AI applications, and model deployment. You'll also get to work on hands-on projects and real-world case studies, which will help you gain practical experience in solving business problems using data and build a portfolio that showcases your skills to potential employers.

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 10 AM to 7 PM

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