Elite Program in AI & Data Science

4.9 3498 Learners Enrolled
  • Live online classes from IIT Faculty and top 1% of Industry Experts
  • Built specially for undergrad students that enables you to grow like a Pro!
  • Get 18 Months placement support from Intellipaat
  • Get certified from Microsoft & iHub, IIT Roorkee
Applications closes on 19th April 2026
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Eligibility

Undergraduate Students

& Diploma Holders

Upskill

8 Hours a Week

Alongside Your College

2 Days

Campus Immersion

at iHUB IIT Roorkee

Receive

Career Services

by Intellipaat

Intellipaat Proven Track Record

Intellipaat consistent track record of success shows clearly our dedication to excellence.

Real Stories, Incredible Journeys

Swipe to find learners like you, or speak to a career expert and get started today.
3100+ Companies Hire Intellipaat Learners

AI & Data Science Certification

On successful completion of the modules in this course, learners will obtain an AI & Data Science Certification. This AI & Data Science Certification will ensure that the learners are industry-ready from Day 1.
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iHUB IIT Roorkee Certificate
Partnering with iHUB IIT Roorkee
  • Earn a recognised credential from iHUB IIT Roorkee
  • 2 days campus immersion at iHUB IIT Roorkee
Click to Zoom Microsoft Certificate Image For PCP
Microsoft Certificate
Partnering with Microsoft
  • Earn an official Microsoft certification and Learn Badge
  • Master Azure AI, Copilot Studio, and cloud-based AI workflows.

Key features of the program 

Microsoft & iHUB IIT Roorkee Certification
Earn a prestigious certificate from Microsoft & iHUB IIT Roorkee to boost your credibility.
Advanced Curriculum
Learn the exact skills top companies expect in AI & Data Science roles.
Real-World Projects
Build +20 portfolio-ready projects that showcase your practical expertise.
Campus Immersion
2-day iHUB IIT Roorkee immersion with IIT faculty, industry experts & peers.
AI Powered LMS
Get your tech queries answered with intelliAI Mentor in no time.
Placement Support
18-month placement support for your dream job. (Eligibility: 65% attendance & clear PRT; offered by Intellipaat)
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Meet Your Mentors & Instructors

Learn from IIT Faculties

Tools to Master

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Curriculum

Wise For: 1st, 2nd & 3rd Year Students
Duration: 9 Months
Live Online: Mon, Wed, Fri (8:00 – 9:30 PM)
Einstein For: 4th Year Students
Duration: 5 Months
Live Online: Mon - Fri (8:00 – 9:30 PM)
1
Module 1
3.5 Months 2.5 Months
Python Programming
  • Introduction to Python – Learn Python and work with industry tools like Jupyter Notebook and PyCharm used by developers and data professionals.
  • Python Basics – Master core concepts like variables, data types, loops, conditionals, and functions to write clean, efficient, and production-ready code.
  • Object-Oriented Programming – Apply OOP concepts like classes, inheritance, and polymorphism to build scalable applications used in real-world systems.
Python for Data Science
  • NumPy & Linear Algebra – Work with arrays and core matrix operations used in ML.
  • Pandas for Data Manipulation – Clean, transform, and analyze real-world datasets using DataFrames.
  • Data Preprocessing – Perform EDA, feature engineering, scaling, and handle missing values & outliers.
  • Model Preparation Concepts – Apply train-test split, cross-validation, and bias-variance concepts.
  • Data Visualization – Build insights using Matplotlib and Seaborn (bar, scatter, regression plots).

Understand how to use Python for Data Science, including working with APIs and building basic APIs.

Data Wrangling with SQL
  • SQL Fundamentals – Learn SQL basics, ACID properties, normalization, tables, joins, and variables.
  • Advanced SQL – Work with functions, subqueries, views, nested queries, and pattern matching.
  • UDFs & Stored Procedures – Build user-defined functions and stored procedures for real-world use cases.
  • Data Handling & Optimization – Perform grouping, sorting, indexing, and optimize queries for performance.
2
Module 2
3.5 Months 2.5 Months
Statistics for Machine Learning
  • Linear Algebra & Core Statistics – Build strong intuition for concepts used in ML models.
  • Descriptive & Inferential Statistics – Understand data distribution, hypothesis testing, and probability for real-world analysis.
  • Experimentation & A/B Testing – Apply testing frameworks used in product and business decision-making.
  • Practical Bayesian & Causal Concepts – Learn real-world applications for data-driven insights.
Machine Learning – Supervised & Unsupervised
  • Core ML Concepts – Learn supervised and unsupervised learning used in real-world applications.
  • Regression & Classification – Build and optimize models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and KNN.
  • Clustering Techniques – Apply clustering algorithms to group and analyze data patterns.
  • Model Evaluation – Measure performance using accuracy, precision, recall, F1-score, and confusion matrix.
  • Dimensionality Reduction – Use PCA and LDA to simplify high-dimensional data.
  • Time Series Basics – Analyze trends and build models for future predictions.
Industry Case Studies & Projects
  • AI Chatbot with RAG – Build an intelligent chatbot using LLMs, embeddings, and vector databases for real-world applications.
  • Customer Churn Prediction – Predict customer drop-offs using machine learning models used in SaaS and fintech companies.
  • Recommendation System – Develop a Netflix/Amazon-style recommendation engine to personalize user experience.
  • Fraud Detection System – Detect fraudulent transactions using classification models (real-world fintech use case).
  • Sales Forecasting (Time Series) – Forecast demand and trends using historical data for business decision-making.
  • Resume Screening AI (LLM-based) – Build an AI system to analyze and rank resumes using LLMs and NLP techniques.
Generative AI & LLMs
  • Transformers & Attention – Learn the architecture behind modern AI, including self-attention and encoder-decoder models.
  • BERT & Language Models – Understand how models like BERT power text understanding and real-world NLP applications.
  • GPT & Generative AI – Build applications using GPT models for content generation, automation, and AI assistants.
  • Large Language Models (LLMs) – Learn how LLMs work, their use cases, and how they power modern AI systems.
  • Generative Models (VAEs) – Create models for tasks like image generation and synthetic data creation.
  • LangChain & LLM Applications – Develop real-world applications using LLMs, APIs, and end-to-end AI workflows.
Prompt Engineering & Generative AI Applications
  • Prompt Engineering – Learn to design effective prompts, optimize outputs, and use tools to build reliable AI applications.
  • Image-Based Applications – Create image generation and text-to-image workflows using Generative AI.
  • Text-Based Applications – Build applications for summarization, content generation, and automation using LLMs.
  • Audio-Based Applications – Develop text-to-audio and speech-based applications using Generative AI tools.
Agentic AI
  • Foundations & Architecture – Understand how AI agents are designed and operate in real-world systems.
  • Core Components – Work with memory, tools, and RAG to build intelligent agents.
  • Agent Development – Build use-case driven AI agents for automation and decision-making.
  • Deployment – Deploy and scale AI agents for real-world applications.
3
Capstone Project
2 Months

Build a real-world Capstone Project with expert mentorship, regular reviews, and hands-on exposure to how industry-grade solutions are developed and delivered.

Internship
4
End-to-End Placement Support to Land Your Dream Job
  • Aptitude & soft skills training
  • Technical interview preparation
  • Resume building & LinkedIn optimization
  • Up to 18 months of placement support with unlimited job applications

Note: Placement support will be provided upon meeting the eligibility criteria of at least 65% attendance and successful completion of the Placement Readiness Test (PRT).

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Don't just code, Create! Master Tech Skills & work on amazing 20+ Industry Grade Projects

Real Time Social Media Analytics 1
Real-Time Social Media Analytics
Build a dashboard that captures and analyzes live social media feeds to track brand sentiment and trending topics.
Analyzing IPL T20 Cricket
Analyzing IPL T20 Cricket
Perform exploratory data analysis (EDA) on years of cricket data to predict match outcomes or identify "MVP" players based on historical performance.
Customer Churn Analysis
Customer Churn Analysis
Identify patterns in customer behavior to predict who is likely to leave a service, helping businesses create better retention strategies.
Housing Price Prediction
Housing Price Prediction
Using regression algorithms, you’ll predict the market value of residential properties based on 70+ variables like location, area, and amenities.
Credit Card Fraud Detection
Credit Card Fraud Detection
Develop a classification model that identifies suspicious transactions in real-time to prevent financial theft.
Loan Approval Prediction
Loan Approval Prediction
Create a system for banks that automatically evaluates a candidate’s eligibility for a loan based on their credit history and income.
Species Detection Action Plan 1
Species Detection & Action Plan
Build a CNN (Convolutional Neural Network) model deployed on Gradio that identifies snake species from an image and provides the location of the nearest anti-venom center.
Face Detection System
Face Detection System
Using OpenCV, create an application capable of detecting and tracking human faces in a live video stream.
Enhancing Satellite Imagery using Gen AI
Satellite Imagery Enhancement
Use Generative AI to sharpen low-resolution satellite images for better geographical and urban planning.
twitter sentimental analysis
Twitter Sentiment Analysis
Scrape thousands of tweets and use NLP to categorize them as positive, negative, or neutral.
Cyber threat detection
Cyber Threat Detection
Build an NLP-based system that scans logs or communications to detect potential security breaches or phishing attempts.
stock market forcasting
Stock Market Forecasting
Use LSTM (Long Short-Term Memory) networks to analyze historical stock price trends and predict future movements.

Program Fee

FEE TYPE OPTION 1 - UPFRONT OPTION 2 - EMI
Secure Seat Fee
(non-refundable)
₹2,000 ₹2,000
Program Fee
(non-refundable)
₹43,000 ₹3,999 x 12 Months
Total Amount ₹55,000 ₹45,000 ₹62,000 ₹50,000
Our NBFC Partners
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Intellipaat vs Others

Fees
World Class Instructors
Advanced Curriculum
Incubation Support
Capstone Projects
Placement Support
Intellipaat
Rs. 45,000
Led by IIT faculty & experts from top product companies
Up-to-date, future-proof syllabus looked by top MNC’s
Rs 20 Lakhs as Angel Fund to shortlisted ideas
20+ Industry Oriented real-world projects and case studies
18 Months placement support and access to Intellipaat Job Portal
Others
Rs 1,00,000 - Rs 3,00,000
Limited exposure to experienced professionals
Outdated content, lacking Industry relevance
No
Focus on theory with minimal practical work
No Support

Campus Immersion at iHub, IIT Roorkee

Campus Immersion
Campus Immersion at iHub IIT Roorkee
Campus Immersion @ iHub
Campus life at iHub IIT Roorkee
Campus Immersion @ iHub IIT Roorkee
Labs at IHub DivyaSampark, IIT Roorkee

Take the First Step towards becoming a part of the Top 1% of AI Engineers in the country!

Wanna know more about the admission process?
Admissions Ongoing for 2026.

Frequently Asked Questions

Is it possible to pursue this certification program with the current undergraduate degree program simultaneously?

Yes, you can pursue this certification program with your undergraduate or post graduate simultaneously. Our course is designed to accommodate your schedule, ensuring it complements your degree program seamlessly.

If you encounter doubts while learning, our team of highly experienced experts is readily available to assist you. You can easily reach out to our mentors, and we also conduct dedicated doubt session classes to address any queries you may have.

You can speak to the course advisors to understand more about our program and your suitability for the same.

This is not a job guarantee program. However, we are confident that after undergoing our high-quality teaching you will be able to land your dream job.

If you are unable to attend one of the live lectures, you will receive the recorded session within the next 12 hours in the LMS. If you have doubts for the missed sessions you can contact our support team.

You will undergo below sessions:

  1. Aptitude and Soft Skills
  2. Job search strategy sessions
  3. Creation of a resume & LinkedIn profile
  4. Mock interview preparation interviews by industry experts
  5. Placement support for 18 months from program start date with more than 3100 hiring companies

Please Note: Placement support will be provided upon meeting the eligibility criteria of at least 65% attendance and successful completion of the Placement Readiness Test (PRT).

Please note that the course is non-refundable and we will be at every step with you for your upskilling and professional growth needs.

The Official Student E–ID Card and T-Shirt are optional and can be availed by opting in with an additional fee of ₹500.

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