Talent Versity

80–100 Hour Advanced Program

Data Science with Generative AI

From Python fundamentals to deep learning neural networks and GenAI LLM deployments — built for students who want real data careers, not just certificates.

80–100 Intensive Hours 1 Year Placement Support Unlimited Interview Calls MLOps & Deployment
9Modules
10+Tools
₹8 LPAMax Package

9-Module Advanced Curriculum

Foundation to deployment — Python programming through generative AI and live project delivery.

Python syntax, data structures, object-oriented programming, file handling, custom automation scripts, and environment setup with Jupyter and VS Code.
Descriptive and inferential statistics, probability distributions, central limit theorem, hypothesis testing (z-test, t-test, ANOVA), and A/B testing methodologies.
Exploratory Data Analysis with Pandas and NumPy; data cleaning, missing value imputation, outlier treatment, and feature engineering strategies.
Matplotlib, Seaborn, Plotly for Python; Power BI desktop and service — building interactive business dashboards and executive reports from raw datasets.
SQL querying, joins, aggregations, window functions; relational database design; connecting Python to databases; BigQuery and cloud database fundamentals.
Supervised and unsupervised learning algorithms; regression, classification, clustering, decision trees, random forests, XGBoost; model evaluation, cross-validation, and hyperparameter tuning.
ANN, CNN, RNN architectures; TensorFlow and Keras implementation; transfer learning; image classification and NLP applications.
LLM integration in data pipelines; AI-assisted EDA and code generation; prompt engineering for data analysis; building AI-powered data applications with LangChain and OpenAI API.
Model deployment with Streamlit and Flask; CI/CD pipelines for ML; containerization basics; monitoring deployed models and handling model drift in production.

Tools You Will Learn

PythonPandas NumPyTensorFlow Scikit-learnPower BI SQLStreamlit JupyterMatplotlib PlotlyLangChain

Practical Capstone

Build and deploy an end-to-end ML project — data pipeline, trained model, interactive Power BI dashboard, and a live Streamlit application hosted online.

Roles and salary expectations

  • Data Analyst
  • Junior Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Engineer (Entry)
  • AI/Automation Associate
₹4 LPA – ₹8 LPA Indicative starting range

Target hiring ecosystem

TCSInfosys AccentureWipro AmazonMicrosoft FlipkartDeloitte EYKPMG

Illustrative target employers. Does not imply confirmed hiring partnerships.