About the program

This 8week internship offers a deep dive into Data Science, Artificial Intelligence AI, and Machine Learning ML using Python, tailored for aspiring data scientists and AI enthusiasts. Structured in five phases, it builds a robust foundation in Python programming, essential libraries like Pandas, NumPy, and ScikitLearn, and advanced frameworks like TensorFlow and PyTorch. Participants master data handling, visualization Matplotlib, Seaborn, and core mathematics statistics, linear algebra, calculus critical for ML. The program covers supervised learning regression, classification, unsupervised learning clustering, PCA, and deep learning CNNs, RNNs, LSTMs for applications like image classification and NLP. Handson projects emphasize realworld problemsolving, from data cleaning to model deployment using Flask, FastAPI, and Streamlit on cloud platforms like AWS, GCP, or Heroku. Interns also explore MLOps for model monitoring and CICD. By the end, participants gain a project portfolio and industryready skills in feature engineering, hyperparameter tuning, and time series forecasting. Ideal for breaking into data science and AI, this internship blends theory and practice for impactful, deployable solutions.

Perks

NA

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 8 Weeks
4. have relevant skills and interests

Terms of Engagement

Interns have to provide Project reports along with Code for validation by the end of the Internship.

Number of openings

10