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iHUB IIT R

Executive Post Graduate Certification in Data Science & Artificial Intelligence

6,357 Ratings

Learn from IIT Faculty & Industry Experts with Guaranteed Placement Assistance.
  • Master Data Science, Machine Learning, Generative AI, RAG, Agentic AI and MLOps
  • Receive personalised 1:1 mentorship throughout the programme
  • Work on industry-grade projects and real-world case studies
  • Experience an exclusive campus immersion at iHUB, IIT Roorkee
  • Pitch your startup idea for potential incubation support of up to ₹50 lakh from iHUB DivyaSampark, IIT Roorkee

In collaboration with

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Course Introduction

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Learning Format

Online Bootcamp

Program Duration

12 Months Live

Executive PG

Certification

Campus Immersion

iHUB, IIT Roorkee

3100+

Hiring Partners

EMI Starts

at ₹6999/month*

Google-Reviews 3109
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About Program

An industry-ready Data Science and AI programme designed for the AI era, combining foundational analytics skills with modern Generative AI, Agentic AI and AI-assisted coding. Learn modern AI tools like ChatGPT, GitHub Copilot and other AI tools to write, debug, validate and optimise code.

Key Highlights

620 Hrs of Applied Learning
100+ Live Sessions Across 12 months
Learn from IIT Faculty & Industry Practitioners
50+ Industry Projects & Case Studies
218 Hrs of Self-Paced Learning
iHUB DivyaSampark, IIT Roorkee Certification
2 Days Campus Immersion at iHUB, IIT Roorkee
3 Guaranteed Job Interviews upon movement to Placement Pool
24*7 Support
Dedicated Learning Management Team
AI Powered LMS
Designed for Working Professionals and Freshers

About iHUB DivyaSampark, IIT Roorkee

iHUB DivyaSampark at IIT Roorkee, established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by the Department of Science and Technology (DST), focuses on fostering innovation in advanced technologies such as AI, ML, and more. The hub plays a pivotal role in technology development, incubation, and startups, particularly in areas like Healthcare,Read More..

Upon the completion of this program, you will:

  • Receive a certificate from iHUB DivyaSampark, IIT Roorkee
Executive Post Graduate Certification in Data Science Artificial Intelligence Click to Zoom

Program in Collaboration with Microsoft

Benefits for students from Microsoft:

  • Industry-recognized Microsoft certification
  • Free Voucher for Exam AZ-900: Microsoft Azure Fundamentals worth $99
  • Microsoft Badge
SQL Certificate Click to Zoom

Career Transition

55% Average Salary Hike

$1,20,000 Highest Salary

45 LPA Highest Salary

12000+ Career Transitions

3100+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who Can Apply for the Course?

  • Individuals with a bachelor’s degree and a strong interest in learning AI and data science
  • IT professionals looking to make a career transition as data scientists and artificial intelligence engineers
  • Non-Technical Professionals & Entry-level professionals looking to build their careers in artificial intelligence and data science
  • Undergraduate students & freshers with an interest in Data Science & AI
who can apply

What roles can a person trained in data science and artificial intelligence play?

Data Scientist

Become a data scientist with expertise in machine learning, deep learning, and data engineering.

AI/ML Engineer

I work as an AI/ML engineer, developing and deploying AI models.

Machine Learning Expert

Using various machine learning tools and technologies, building statistical models.

Business Analyst

Apply data science skills to business analysis and decision-making.

Data Engineer

Design and implement data pipelines and architectures.

Researcher

Pursue research in data science and AI.

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Skills to Master

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

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Tools to Master

python 2 SQL 1 git GitHub Adv Excel chatgpt GitHub Copilot Power BI numpy 2 pandas plotly scikit learn 1 XGboost Tool Image Shap Tool Image PyTorch HuggingFace Langchain LangGraph CrewAI OpenAI Agents SDK FAISS ChromaDB MLflow FastAPI docker azure Langfuse n8n 1 MCP

Meet Your Mentors

Curriculum

Live Course Industry Expert

Learn to code faster and more effectively using modern AI coding assistants.

  • Python, Jupyter Notebook and VS Code setup
  • Git, GitHub and version-control fundamentals
  • Coding with ChatGPT and GitHub Copilot
  • Prompting for code generation, debugging and refactoring
  • Testing and validating AI-generated code
  • Data privacy and responsible AI-assisted development
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Build strong SQL and data-engineering foundations for analytics, Machine Learning and AI applications.

  • Relational databases, data modelling and normalization
  • Advanced SQL joins, subqueries, CTEs and window functions
  • Data cleaning, transformation and quality validation
  • SQL query optimisation and execution-plan fundamentals
  • SQL-based feature engineering and business analytics
  • Connecting SQL databases with Python
  • AI-assisted SQL generation and query validation

Hands-on Project: E-commerce Revenue and Customer Analytics

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Develop production-quality Python programs for data analysis, Machine Learning and AI applications.

  • Python fundamentals, clean coding and modular programming
  • Modern Python features, type hints and dataclasses
  • Object-Oriented Programming for reusable AI pipelines
  • NumPy and Pandas for data processing and analytics
  • Data preprocessing, transformation and validation
  • Working with APIs, SDKs and external data sources
  • Plotly and Dash for interactive analytics applications
  • Poetry, uv, Pydantic and Pandera
  • AI-assisted code generation, debugging and refactoring

Hands-on Project: Automated Data Cleaning and Validation Pipeline

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Use statistics and experimentation techniques to discover patterns, validate assumptions and support business decisions.

  • Descriptive statistics, probability and distributions
  • Sampling, Central Limit Theorem and confidence intervals
  • Hypothesis testing: Z-test, T-test, Chi-square and ANOVA
  • P-values, effect size and statistical significance
  • Univariate, bivariate and multivariate analysis
  • Missing-value, outlier and data-leakage detection
  • A/B testing and business experimentation
  • AI-assisted EDA and automated insight generation
  • Communicating statistical findings to stakeholders

Hands-on Project: Customer Conversion A/B Test Analysis

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Build, evaluate and explain Machine Learning models for real-world business problems.

  • Translating business problems into Machine Learning solutions
  • End-to-end Scikit-learn pipelines
  • Linear, regularised and tree-based regression
  • Logistic regression, decision trees and random forests
  • Gradient boosting and XGBoost
  • K-Nearest Neighbours and Support Vector Machines
  • K-means clustering and customer segmentation
  • PCA and dimensionality reduction
  • Feature engineering and feature selection
  • Cross-validation and hyperparameter optimisation
  • Handling imbalanced datasets
  • Business-focused model evaluation
  • Explainable AI using feature importance and SHAP
  • Bias, fairness and responsible Machine Learning
  • Time-series forecasting, trend and seasonality analysis

Industry Projects:

  • Customer Churn Prediction
  • Credit Risk or Fraud Detection
  • Customer Segmentation
  • Sales and Demand Forecasting
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Develop Deep Learning and Natural Language Processing applications using modern neural-network architectures.

  • Neural networks, tensors and computational graphs
  • Forward propagation and backpropagation
  • Loss functions, optimisers and training loops
  • Building neural networks using PyTorch
  • Regularisation, dropout and early stopping
  • Convolutional Neural Networks
  • Transfer learning using pretrained models
  • Text preprocessing and text embeddings
  • Attention and transformer fundamentals
  • Working with pretrained NLP models
  • Model inference, validation and evaluation

Hands-on Project: Image Classification and Text Classification Application

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Build enterprise-ready Generative AI applications powered by Large Language Models and private data.

  • Generative AI, foundation models and LLM architecture
  • Tokens, embeddings, context windows and model selection
  • Open-source and closed-source LLMs
  • Zero-shot, one-shot and few-shot prompting
  • Role prompting, context prompting and prompt templates
  • Structured outputs and JSON responses
  • Prompt testing, versioning and optimisation
  • Calling LLM APIs using Python
  • Streaming responses and conversation history
  • Function and tool calling
  • Document ingestion and intelligent chunking
  • Vector databases using FAISS or ChromaDB
  • Semantic search, hybrid retrieval and metadata filtering
  • Reranking and context construction
  • Citation generation and grounded responses
  • RAG evaluation for relevance and groundedness
  • Hallucination, safety and prompt-injection testing
  • Guardrails, privacy and secure data handling
  • RAG versus fine-tuning
  • LoRA and Parameter-Efficient Fine-Tuning awareness
  • LLM cost, latency and quality optimisation

Hands-on Project: Enterprise Document Intelligence and RAG Assistant with Source Citations

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Design intelligent AI agents that can plan, use tools, access data and complete complex business tasks.

  • AI agents and agentic workflow architecture
  • Planner–executor, memory, tools and feedback loops
  • State management and task decomposition
  • Single-agent and multi-agent systems
  • LangChain, LangGraph and CrewAI
  • OpenAI Agents SDK
  • Custom tools, API integration and function calling
  • Model Context Protocol architecture and use cases
  • Short-term and long-term agent memory
  • Human-in-the-loop approvals
  • Error handling, retries and fallback strategies
  • Data-analysis agents, SQL agents and ML assistants
  • Agentic RAG workflows
  • Agent tracing, evaluation and observability
  • Low-code AI automation using n8n
  • Responsible and secure agent design
  • Building Enterprise AI Agents with Microsoft Foundry on Azure

Hands-on Project: AI-Powered Data Science Copilot and Business Process Agent

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Deploy, monitor and maintain Machine Learning and Generative AI applications in production.

  • Machine Learning experiment tracking with MLflow
  • Model versioning and reproducible pipelines
  • Building model APIs using FastAPI
  • Application containerisation using Docker
  • Cloud deployment fundamentals
  • CI/CD for Machine Learning applications
  • Model performance and data-drift monitoring
  • LLM and agent tracing using Langfuse
  • Prompt, token, latency and cost monitoring
  • Security, scalability and production reliability
  • Responsible AI deployment and governance

Hands-on Project: Deploy a Containerised ML /Generative AI Application

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Transform raw business data into interactive dashboards and executive-level insights.

  • Advanced Excel functions, Pivot Tables and data validation
  • Data transformation using Power Query
  • Power BI data modelling and star-schema design
  • DAX measures, calculated columns and time intelligence
  • Interactive dashboards, drill-throughs and slicers
  • Dashboard performance and visual-design fundamentals
  • Business storytelling and executive dashboard design
  • Microsoft Copilot for insight summaries and report creation

Hands-on Project: Executive complex Business Performance Dashboard

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Transform raw business data into interactive dashboards and executive-level insights.

  • Advanced Excel functions, Pivot Tables and data validation
  • Data transformation using Power Query
  • Power BI data modelling and star-schema design
  • DAX measures, calculated columns and time intelligence
  • Interactive dashboards, drill-throughs and slicers
  • Dashboard performance and visual-design fundamentals
  • Business storytelling and executive dashboard design
  • Microsoft Copilot for insight summaries and report creation

Hands-on Project: Data Cleansing & MIS Dashboard

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Turn analytical findings into clear, engaging and action-oriented business stories.

  • Choosing the right visual for business data
  • Identifying trends, patterns and key insights
  • Creating executive-level data narratives
  • Communicating insights to non-technical stakeholders
  • Using Microsoft Copilot for summaries, reports and recommendations
  • Avoiding misleading visualisations and incorrect conclusions

Hands-on Activity: Create an AI-assisted executive insight summary from a business dashboard.

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Disclaimer
Intellipaat reserves the right to update the curriculum based on industry and employability needs.

Program Highlights

100+ Live Sessions Across 12 months
218 Hrs of Self-Paced Learning
50+ Industry Projects & Case Studies
24*7 Support

Capstone Projects

Reviews

(5)

Career Services By Intellipaat

Career Services
guaranteed
Placement Assistance
job portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
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Career Oriented Sessions
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Resume & LinkedIn Profile Building
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Experience Campus Immersion at iHub IIT Roorkee & Build Formidable Networks With Peers & IIT Faculty

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Our Alumni Works At

Hiring Partners

Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

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Submit Application

Tell us a bit about yourself and why you want to join this program

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Application Review

An admission panel will shortlist candidates based on their application

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Admission

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

₹ 90,000 (Inclusive of All)

Apply Now

EMI Starts at

₹ 6,999

We partnered with financing companies to provide very competitive finance options at 0% interest rate

Financing Partners

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The credit facility is provided by a third-party financing company and any arrangement with such financing companies is outside.

Upcoming Application Deadline 16th Aug 2026

Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 16th Aug 2026 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)
Regular Classes 16th Aug 2026 10:00 AM - 01:00 PM IST Weekend (Sat-Sun)
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Other Cohorts

Others Cohorts

Date Time Batch Type
Program Induction 18th Aug 2026 07:00 AM - 09:00 AM IST Weekday (Tue-Fri)
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Frequently Asked Questions

How will I receive my certificate?

After completing the Executive Post Graduate Certification Data Science & Artificial Intelligence course and completing the various projects in this program, you will receive a joint certificate from Intellipaat and iHUB DivyaSampark, IIT Roorkee.

AI coding tools such as ChatGPT, Claude and GitHub Copilot are increasingly used in the industry to accelerate coding, debugging, testing and data analysis. This course helps learners use these tools effectively while building strong Python fundamentals, validating AI-generated code. These are the skills needed to work faster and contribute effectively in modern Data Science and AI teams.

Intellipaat offers career services that include 3 guaranteed interviews for all learners enrolled in this course upon movement to the placement pool. Learners will be moved to the placement pool once they clear the PRT (Placement Readiness Test).

The Executive Post Graduate Certification Data Science & Artificial Intelligence course is delivered by leading experts from iHUB DivyaSampark, IIT Roorkee and Intellipaat. They will help you gain in-depth knowledge in Artificial Intelligence and Data Science apart from giving you hands-on experience in these fields through real-time projects. The top 2 performers will be given a monthly stipend and you will also get a chance to be incubated and funded by iHUB DivyaSampark, IIT Roorkee.

Upon completion of the course and successful completion of assignments and projects, you will receive advanced certification in Data Science and Machine Learning from Intellipaat and iHUB DivyaSampark, IIT Roorkee, recognized by top organizations around the world. In addition, our job assistance team will prepare you for your interview by conducting multiple mock interviews, preparing your resume, and more.

All candidates applying for this course are eligible for equity-based seed funding and incubation support from iHUB DivyaSampark, IIT Roorkee, for their startup ideas. Enrolled students will have the opportunity to pitch their ideas to the iHUB DivyaSampark team, and shortlisted proposals may receive funding of up to ₹50 lakh, along with full incubation support.

Additionally, candidates who are currently enrolled in a degree program and have their startup idea approved may also receive a monthly fellowship/scholarship of ₹8,000 during the early phase of their project to encourage and support innovation.

If you are unable to attend one of the live lectures, you will receive a copy of the recorded session within the next 12 hours. If you have any further questions beyond that, you can contact our course advisors or ask them in our community.

To be included in the placement pool, the learner must complete the course and submit all projects and assignments. He/she must then pass the PRT (Placement Readiness Test) to be accepted into the placement pool and gain access to our job portal and career mentoring sessions.

You will undergo below sessions:

  • Job search strategy sessions
  • Creation of a resume
  • Creation of a LinkedIn profile
  • Preparation for interviews by industry experts
  • Mock interviews
  • Placement opportunities with more than 3100+ hiring partners after passing the employment test.

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

Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.

Learners can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.

Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.

The total duration of the program is 11 months and 1 month will be additional for project work.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work