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Job Guarantee Program

PG Data Science with Al Job Gurantee Program

Master in-demand Data Science and AI skills with top industry experts through hands-on projects and career support. This PG program comes with a guaranteed job placement — or you get your money back.

Program Duration

12 Months

Learning Format

Online Live

Placement Assistance

100% Guaranteed

Schedule a Call with Expert

    Request Program Information

    Job Guarantee Program

    PG Data Science with Al Job Gurantee Program

    Master in-demand Data Science and AI skills with top industry experts through hands-on projects and career support. This PG program comes with a guaranteed job placement — or you get your money back.

    Program Duration

    12 Months

    Learning Format

    Online Live

    Placement Assistance

    100% Guaranteed

    Schedule a Call with Expert

      Request Program Information

      Trusted By Leading Companies

      No Content

      Join the Most In-Demand PG Data Science with AI Job Guarantee Program

      Gain hands-on experience with cutting-edge AI tools, machine learning algorithms, and deep learning techniques by working on real industry problems. This program blends theory with practical applications to help you build smart, scalable models that drive real business impact. Learn from industry experts and work on live projects to sharpen your problem-solving and analytical skills.

      Prepare to step confidently into high-growth careers such as Data Scientist, AI Engineer, Machine Learning Engineer, and more. With full placement support, dedicated career coaching, and a 100% job guarantee (or your money back), this program is designed for both fresh graduates and working professionals aiming to break into the AI and Data Science space.

      Industry-Relevant Curriculum

      Comprehensive curriculum covering Python, Machine Learning, Deep Learning, NLP, and Big Data technologies.

      Job Guarantee

      Get placed in a data science role within 6 months of graduation or receive a full refund of your program fee.

      Live Online Classes

      Learn from top industry experts through interactive live sessions with real-time doubt resolution.

      1:1 Mentorship

      Personalized guidance from industry mentors to help you navigate your learning journey effectively.

      Career Support

      Resume building, interview preparation, and exclusive access to job opportunities with top companies.

      Capstone Projects

      Work on real-world projects to build a strong portfolio that showcases your data science expertise.

      Comprehensive Course Curriculum

      Our industry-aligned curriculum is designed by experts to help you master the most in-demand data
      science and AI skills and prepare you for a successful career.

      Data Foundations & AI-Ready Business Tools

      Build a solid base in handling, cleaning, structuring, and visualizing data with the tools used by top AI teams. You’ll learn how to work with spreadsheets, write efficient SQL queries, and design dashboards that communicate insights clearly. This module is designed to make you fluent in the essential tools of a data-driven AI professional.

       

       

      By the end, you’ll be comfortable working with relational databases, performing transformations, and preparing data pipelines for AI workflows.

      What you'll learn:
      • Python programming fundamentals
      • Descriptive and inferential statistics
      • Data manipulation with NumPy and Pandas

      Course Content

      Excel + Google Sheets

      Advanced formulas, pivot tables, dashboards, What-if analysis, real-time collaboration

      SQL + Databases

      CRUD operations, joins, aggregations, views, window functions, indexing, schema design

      Power BI / Tableau

      KPI dashboards, data storytelling, calculated fields, AI-driven visual insights, interactive reports

      Databases & Wrangling

      Handling missing values, data reshaping, feature scaling, type conversions, preparing data for ML/AI models

      Python for Data & AI Development

      Learn the most in-demand programming language for AI and data science: Python. You’ll go from writing simple scripts to building reusable, efficient, and scalable code for real-world AI models.

       

       

       

      With libraries like NumPy and Pandas, you’ll manipulate complex datasets and begin integrating early-stage AI libraries like TensorFlow or PyTorch.

       

       

       

      You’ll also gain hands-on experience with GitHub, enabling you to work like a professional in collaborative, version-controlled environments.

      What you'll learn:
      • Python programming fundamentals
      • Descriptive and inferential statistics
      • Data manipulation with NumPy and Pandas

      Course Content

      Python Basics

      Variables, loops, functions, data structures, exception handling, OOP concepts

      NumPy & Pandas

      Arrays, vectorized operations, DataFrames, filtering, merging, reshaping

      Data Visualization

      Matplotlib, Seaborn, heatmaps, pairplots, boxplots

      Version Control

      Git basics, repositories, branching, pull requests, collaborative workflows

      AI Libraries Intro

      TensorFlow, PyTorch, setting up AI environments

      Statistics, Probability & GenAI-Ready EDA

      Understand the math that powers AI. This module teaches you to draw conclusions from data, identify hidden trends, and apply statistical techniques to validate assumptions.

       

       

       

      You’ll work with Python libraries for statistical modeling and leverage AI tools like ChatGPT for guided Exploratory Data Analysis (EDA).

       

       

       

       

      The goal is to help you build statistical intuition and fluency so you can prepare high-quality features for both ML and GenAI models.

      What you'll learn:
      • Python programming fundamentals
      • Descriptive and inferential statistics
      • Data manipulation with NumPy and Pandas

      Course Content

      Descriptive Statistics

      Central tendency, variance, skewness, kurtosis

      Probability Theory

      Conditional probability, Bayes theorem, distributions (normal, binomial, Poisson)

      Hypothesis Testin

      Z-test, t-test, chi-square test, ANOVA, p-values

      Exploratory Data Analysis

      Outlier detection, correlation analysis, missing value imputation, feature engineering

      AI-Assisted EDA

      Using ChatGPT & AI tools for automated data insights

      Machine Learning & Model Building

      Dive deep into machine learning with hands-on implementation of core algorithms for classification, regression, and clustering. You’ll not only learn the “how” but also the “why” behind popular techniques—understanding when to apply each and how to optimize their performance.

       

       

       

      This module covers model tuning, evaluation, and ensemble learning with tools like Scikit-learn, XGBoost, and SHAP for model interpretability.

       

       

       

      It prepares you to build robust, explainable ML systems ready for real-world deployment.

      What you'll learn:
      • Python programming fundamentals
      • Descriptive and inferential statistics
      • Data manipulation with NumPy and Pandas

      Course Content

      Supervised Learning

      Linear regression, logistic regression, decision trees, support vector machines

      Unsupervised Learning

      K-means clustering, hierarchical clustering, PCA dimensionality reduction

      Model Evaluation

      Accuracy, precision, recall, F1 score, ROC curve, confusion matrix

      Model Tuning

      Cross-validation, grid search, hyperparameter optimization

      Ensemble Methods

      Random forests, AdaBoost, XGBoost, model interpretability with SHAP & LIME

      Advanced AI, Deep Learning & Generative AI

      Get hands-on with cutting-edge AI technologies that power LLMs, chatbots, and recommendation engines.

       

       

       

      You’ll build neural networks using TensorFlow/Keras, experiment with computer vision models, and work on real-world NLP tasks using BERT and GPT.

       

       

       

      You’ll also explore Generative AI and prompt engineering with tools like OpenAI API and HuggingFace. This module makes you confident in applying AI to real industry challenges—from building smart assistants to automating content and insights.

      What you'll learn:
      • Python programming fundamentals
      • Descriptive and inferential statistics
      • Data manipulation with NumPy and Pandas

      Course Content

      Neural Networks & CNNs

      Perceptron, activation functions, backpropagation, CNN for image classification

      Natural Language Processing

      Tokenization, stemming, TF-IDF, Word2Vec, sentiment analysis

      Transformers & Time Series

      Introduction to BERT, GPT, large language models (LLMs), prompt engineering

      Time Series Forecasting

      ARIMA, exponential smoothing, Facebook Prophet

      Generative AI & AI Applications

      Chatbots, text summarization, recommendation systems, OpenAI API integration

      MLOps, AI Deployment & Career Readiness

      Learn how to turn your AI models into real products by deploying them using modern tools like Flask, Streamlit, and AWS.

       

       

       

      You’ll build complete end-to-end ML pipelines, explore automation using MLflow, and follow best practices for versioning and monitoring models.

       

       

       

      This module also includes extensive career support—resume building, portfolio reviews, mock interviews, and real-world GenAI project presentation.

       

       

       

      By the end, you’ll be job-ready with a deployable AI portfolio and full placement assistance.

      What you'll learn:
      • Python programming fundamentals
      • Descriptive and inferential statistics
      • Data manipulation with NumPy and Pandas

      Course Content

      Model Deployment

      Flask APIs, Streamlit dashboards, AWS hosting, Heroku

      MLOps Pipelines

      Automation, model versioning, monitoring, MLflow

      Resume, LinkedIn & Mock Interviews

      Resume building, LinkedIn optimization, mock interviews, portfolio preparation

      Capstone Project

      Real-world AI problem solving, end-to-end project presentation

      Download Detailed Curriculum

      🚀 Your Data Science Journey

      🏁
      1

      Program Kickoff

      Orientation, onboarding & skill assessment

      ➡️
      📊
      2

      Data & BI Tools

      Excel, SQL, Power BI, Tableau

      ➡️
      🧠
      3

      Machine Learning

      Model building with Scikit-learn & Pandas

      ➡️
      🐍
      4

      Python for AI

      Advanced scripting, APIs, OOPs

      ➡️
      🤖
      5

      Deep Learning

      Neural networks, GenAI & transformers

      ➡️
      📈
      6

      Stats & GenAI EDA

      Hypothesis testing, A/B testing, GenAI

      ➡️
      🚀
      7

      MLOps & Deployment

      Flask, Streamlit, MLflow, AWS

      ➡️
      🛠
      8

      Capstone & Hackathon

      End-to-end AI project + live challenge

      ➡️
      💼
      9

      Career Prep

      Resume, mock interviews, referrals

      ➡️
      🏆
      10

      Final Outcome

      Land a job or get your money back

      🚀 Your Data Science Journey

      🏁 Program Kickoff

      Orientation, onboarding & skill assessment for AI readiness

      📊 Data Foundations & AI Business Tools

      Excel, SQL, Power BI, Tableau — master tools for data-driven decision making

      🧠 Machine Learning & Model Building

      Supervised, unsupervised learning, Scikit-learn, Pandas, Seaborn

      🐍 Python for AI Development

      Object-oriented programming, functions, APIs, and advanced scripting for AI

      🤖 Advanced AI, Deep Learning & GenAI

      Neural networks, CNNs, RNNs, transformers, and hands-on Generative AI labs

      📈 Statistics, Probability & GenAI-Ready EDA

      Hypothesis testing, A/B testing, probability, EDA with GenAI tools

      🚀 MLOps, AI Deployment & Model Monitoring

      Flask, Streamlit, MLflow, AWS, versioning & model performance monitoring

      🛠 Capstone Project & Hackathon

      End-to-end AI project + hackathon to showcase your skills

      💼 Career Readiness & Job Launch

      Resume building, LinkedIn branding, mock interviews, job referrals

      🏆 Final Outcome

      Land your dream job in Data Science or get your money back

      👩‍🏫 Meet Your Data Science Mentors

      What roles can you target after completing the PG Data Science with AI Job Guarantee Program?

      AI-Powered Data Scientist

      Design advanced AI models and turn complex data into actionable insights.

      AI Product Analyst

      Drive AI product decisions by analyzing user behavior and performance metrics.

      Machine Learning Specialist

      Develop and deploy cutting-edge ML solutions for real-world problems.

      Applied AI Engineer

      Implement and optimize AI-driven systems in production environments.

      AI Solutions Architect

      Architect end-to-end AI platforms and align solutions to business goals.

      Data Strategy Consultant

      Advise companies on leveraging AI for data-driven decision-making.

      AI Business Analyst

      Bridge business needs with AI-powered analytics and tools.

      AI Research Associate

      Support cutting-edge AI research and experiment with novel models.

      AI Innovation Analyst

      Scout, assess, and implement AI trends and technologies across industries.

      Master 25+ Future-Ready Skills with the PG Data Science with AI Job Guarantee Program

      Python for AI SQL for Data Science AI-Powered Storytelling Statistical Thinking Machine Learning Models Neural Networks Data Wrangling Generative AI Tools Prompt Engineering Data Visualization
      ChatGPT Integration Large Language Models (LLMs) AI Ethics & Fairness Supervised & Unsupervised Learning MLOps EDA (Exploratory Data Analysis) AI for Business Cloud & Big Data Data Pipelines Time Series Forecasting Hypothesis Testing AI Product Development Statistical Modeling AI in Real-world Projects Capstone Projects

      Work Hands-On With the Most Powerful Tools in Data Science

      Python

      Python

      NumPy

      NumPy

      Pandas

      Pandas

      Jupyter

      Jupyter

      TensorFlow

      TensorFlow

      Scikit-Learn

      Scikit-Learn

      SQL

      SQL

      Matplotlib

      Matplotlib

      Seaborn

      Seaborn

      Tableau

      Tableau

      R

      R

      Linux

      Linux

      Apply Skills in Real-World Industry Projects

      Intelligent Loan Default Prediction

      Use K-means clustering to segment customers based on demographics and transaction history. Present insights via dashboards for targeted campaign planning.

      Tools Used: Python (Pandas, Scikit-learn, XGBoost), SHAP, Streamlit Skills: Classification, Imbalanced Data Handling, Explainable AI Sector: BFSI Sector

      AI Chatbot for Insurance Claim Processing

      Develop a conversational AI bot using a transformer-based model (BERT) to automate claim inquiry handling in the insurance domain. Train it on historical claim conversations and FAQs.

      Tools Used: Python, HuggingFace Transformers, BERT, Flask, Streamlit Skills: NLP, Transformers, Chatbot Development Sector: Insurance / Fintech Sector

      Smart Retail Inventory Forecasting

      Use AI to predict product-level demand using sales history, holidays, and promotions. Deploy time series forecasting models like Prophet and LSTM to guide automated reordering decisions.

      Tools Used: Python (Prophet, LSTM), Pandas, AWS S3 Skills: Time Series Forecasting, Deep Learning, Data Engineering Sector: Retail / E-commerce Sector

      Personalized Learning Path Recommendation Engine

      Create an AI-based recommender system for an EdTech platform that suggests learning modules based on user behavior, interests, and performance.

      Tools Used: Python (Scikit-learn, Surprise), Streamlit, SQ Skills: Recommendation Systems, Collaborative Filtering, User Behavior Modeling Sector: EdTech Sector

      AI-Driven Medical Diagnosis Assistant

      Develop a CNN model to classify X-ray images for disease detection (e.g., pneumonia). Combine with patient metadata to assist doctors in early diagnosis.

      Tools Used: Python (TensorFlow/Keras), OpenCV, Matplotlib Skills: Computer Vision, CNNs, Image Classification Sector: Healthcare Sector

      Real-Time Fraud Detection System

      Build a real-time fraud detection pipeline using anomaly detection techniques on transaction data. Integrate streaming input and model monitoring using MLOps tools.

      Tools Used: Python (Isolation Forest, Kafka), MLflow, AWS Lambda Skills: Anomaly Detection, Streaming ML, MLOps Sector: Fintech / Banking Sector

      AI-Based Resume Screening System

      Build a natural language processing model to automatically parse and rank resumes based on job descriptions. Use embeddings and similarity scoring to shortlist candidates.

      Tools Used: Python (Spacy, BERT), Streamlit, Elasticsearch Skills: NLP, Semantic Search, Document Classification Sector: HR Tech / Recruitment Sector

      Climate Impact Forecasting Using AI

      Develop a predictive model to forecast long-term CO₂ emissions and temperature anomalies using global climate datasets. Leverage deep learning models to identify patterns and simulate future scenarios.

      Tools Used: Python (TensorFlow, Pandas), Prophet, Matplotlib Skills: Time Series Forecasting, Deep Learning, Data Visualization Sector: Environment / Research Sector

      Career Services to Get You Hired

      Dedicated career support to transform your skills into a successful data science career.

      Placement
      Job Placement Assistance
      Crack interviews with real-time job updates and recruiter connects.
      Job Portal
      Exclusive Job Portal Access
      Get access to 500+ job openings via our AI-curated job platform.
      Mock Interview
      Mock Interview Prep
      Master behavioral & technical interviews with real-time practice.
      Career Mentoring
      1-on-1 Career Mentoring
      Get mentored by experts on building your dream career path.
      Resume
      Resume & LinkedIn Building
      Stand out with a professionally built resume & LinkedIn profile.
      Career Sessions
      Career-Oriented Sessions
      Join exclusive sessions on networking, branding, and visibility.
      HR Feedback
      HR Feedback Support
      Get feedback and tips from hiring managers for continuous growth.
      Live Workshops
      Live Hiring Workshops
      Attend workshops with hiring partners & get direct shortlisting tips.
      Book a Call with Our Expert

      Our Hiring Partners

      Citi Cognizant HSBC Flipkart Accenture Wipro JPMC Capgemini Infosys TCS Citi Cognizant HSBC Flipkart Accenture Wipro JPMC Capgemini Infosys TCS
      HDFC Myntra Quantiphi Decision Point SkillLync Affine Tiger Analytics Flutura Deqode HDFC Myntra Quantiphi Decision Point SkillLync Affine Tiger Analytics Flutura Deqode
      Amazon Google Facebook Airbnb Zomato Swiggy Oyo Microsoft Instagram CoinDCX Amazon Google Facebook Airbnb Zomato Swiggy Oyo Microsoft Instagram CoinDCX
      Airtel Better Quantzig Marktine MIQ Affine WazirX Biz2Credit Airtel Better Quantzig Marktine MIQ Affine WazirX Biz2Credit

      🎓 Earn Your Industry-Endorsed PG Certification

      Hear from Our Alumni

      Real journeys of transformation through our Data Science with AI Program.

      Arjun Mehra

      Arjun Mehra

      Banker → AI Data Analyst

      "I went from banking to AI-powered analytics with real-world tools and mentorship that made the shift seamless."

      ★★★★★
      Riya Sharma

      Riya Sharma

      Graduate → Data Scientist (AI)

      "No prior experience, but this course gave me everything—from Python to deep learning—to land my first job!"

      ★★★★★
      Pranav Joshi

      Pranav Joshi

      IT Admin → ML Engineer

      "AI concepts, cloud deployment and model tuning — I gained skills that helped me crack ML roles in top firms."

      ★★★★★
      Megha Nair

      Megha Nair

      Content Writer → AI Analyst

      "The blend of AI and data storytelling was a game-changer. I now work in a fast-paced AI analytics team!"

      ★★★★★
      Harsh Kapoor

      Harsh Kapoor

      HR Manager → AI Product Analyst

      "I loved how the program merged people analytics with AI, allowing me to pivot into product analytics smoothly."

      ★★★★★
      • Course details
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      FAQs: PG Data Science with AI Job Guarantee Program

      Q. What topics are covered in the PG Data Science with AI Program?

      The program covers Python, Statistics, SQL, Machine Learning, Deep Learning, Power BI, and hands-on industry projects.

      Q. Do I need prior coding experience to join this program? +

      Q. How long is the course duration? +

      Q. Will I get access to real-world projects? +

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