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Grow Grid Live Track • Guided Industrial Training

AI-Powered Data Science & Machine Learning

Learn to analyze, model, and interpret real-world data. Gain hands-on experience in AI automation, LLM integration, and deploy real applications using modern frameworks.

Duration: 12 Weeks (3 Months) Level: Beginner → Advanced Mode: Live Online + Project Centric

Internship Vision

Learn to analyze, model, and interpret real-world data

Develop & optimize Machine Learning and AI models

Gain hands-on experience in AI automation & LLM integration

Deploy real applications using modern tools & frameworks

Create a strong portfolio with industry-level projects

Earn stipend opportunities based on performance & attendance

Program Roadmap

12-Week Curriculum

  • Python programming & data handling
  • Data cleaning, EDA & visualization
  • Statistics & probability fundamentals
  • Business dashboards (Power BI / Tableau)
✔️ Outcome: Strong base in data analysis & reporting

Tools & Technologies

Master industry-standard frameworks used by top Data Scientists.

Python Pandas NumPy Scikit-learn TensorFlow Power BI Tableau Flask Streamlit Docker Git
Hands-On Learning

Capstone & Industry Projects

FinTech ML

Credit Risk / Loan Prediction

Build a predictive machine learning model to assess credit risk and automate loan approval pipelines.

Python Scikit-learn Pandas XGBoost
Business Analytics

Customer Segmentation

Apply unsupervised clustering algorithms to segment customers for targeted marketing strategies.

K-Means PCA Seaborn Power BI
AI & ML

Recommendation System

Engineered collaborative and content-based filtering algorithms to recommend products or media dynamically.

Python NumPy Scikit-learn