BookMyLearning

📊 Data Science Program
👨🏼‍💻Business Analytics
🏦 Investment Banking Program
🛡 Cyber Security Program
💻 Full Stack Program
Menu
Enroll Now
India IN
Job Guarantee Program

PG Data Science with Al Job Guarantee 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

8 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  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.

    Placement Support

    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
    • Support
    • Placement Assistance
    • Payment Options

    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? +

    Ready to Transform Your Career?

    Join thousands of successful professionals who have advanced their careers
    with BookMyLearning

    Explore Program Request a Callback
    Call Our Course Advisors   📞 IND: +91-8766337370
    WhatsApp Chat