🚀 12-Week Data Science & AI Internship Roadmap (With Projects & Resources)

By Champak Roy — Learning Sutras

🔹 Introduction

Data Science and Artificial Intelligence (AI) are among the most in-demand skills in today’s tech industry. Whether you’re a student, fresher, or career switcher, working on the right internship projects will help you gain hands-on experience and attract employers.

This post gives you a 12-week structured internship plan — complete with datasets, tech stacks, and starter notebooks — to help you master Data Science and AI step by step.

🔹 Why Follow This Roadmap?

✅ Covers Foundations → Applied ML → Advanced AI → Deployment
✅ Uses real-world datasets (Kaggle, Yahoo Finance, Flickr, etc.)
✅ Includes NLP, Computer Vision, Time Series & Chatbots
✅ Focuses on deployment (Streamlit, Flask, Docker) — a key hiring skill

📅 12-Week Internship Plan

Month 1: Foundations & Core ML

Week 1: Python & Data Handling

Dataset: Netflix Shows
Tech:
- SQL SEQUEL
  - Pandas
    - Pandas Preview
    - Pandas Series
  - Numpy
  - Matplotlib
  - Seaborn
- Project: Exploratory Data Analysis (EDA) with visualizations
Week 2: Regression Models
- Dataset: Boston Housing
- Tech: Scikit-learn
- Project: Predict house prices using regression models
Week 3: Classification Models
- Dataset: Titanic Dataset
- Tech: Scikit-learn
- Project: Survival prediction using logistic regression and Random Forest
Week 4: Capstone #1 — Recommendation System
- Dataset: MovieLens
- Tech: Pandas, Scikit-learn
- Project: Movie recommendation engine (content-based filtering)
Month 2: Applied ML & NLP

Week 5: Customer Churn Prediction
- Dataset: Telco Churn
- Tech: Scikit-learn, SMOTE
- Project: Predict customer churn using classification models
Week 6: Spam Detection (NLP Basics)
- Dataset: SMS Spam Collection
- Tech: Scikit-learn (TF-IDF), NLTK
- Project: Classify spam vs ham messages
Week 7: Resume Screening AI
- Dataset: Custom (Resumes + Job Descriptions)
- Tech: spaCy, HuggingFace, Streamlit
- Project: AI tool to match resumes with job descriptions
Week 8: Capstone #2 — Stock Forecasting Dashboard
- Dataset: Yahoo Finance API
- Tech: Prophet, LSTM, Plotly, Streamlit
- Project: Forecast stock prices & display them in a dashboard
Month 3: Advanced AI & Deployment

Week 9: Computer Vision — Image Caption Generator
- Dataset: Flickr8k
- Tech: TensorFlow/Keras (CNN + LSTM)
- Project: Generate captions for images automatically
Week 10: Fake News Detector (Advanced NLP)
- Dataset: Fake News Dataset
- Tech: HuggingFace Transformers (BERT)
- Project: Classify news articles as fake or real
Week 11: RAG Chatbot (Generative AI)
- Dataset: Custom PDFs (notes, documents, policies)
- Tech: LangChain, Pinecone/FAISS, OpenAI API, Streamlit
- Project: Chatbot that answers questions from uploaded documents
Week 12: Final Capstone + Deployment
- Options: Resume Screening AI / Healthcare Prediction / Chatbot
- Tech: Flask/FastAPI, Docker, Render/AWS/Heroku
- Project: Deploy model as a web application

✅ Internship Deliverables

🎯 8–10 complete projects (ML, NLP, CV, Chatbot)
🌐 Deployed apps using Streamlit or Flask
📂 GitHub portfolio with documentation
🧠 Final report + presentation for recruiters

🔹 Conclusion

This 12-week internship roadmap helps you move from beginner to advanced AI projects — gaining hands-on experience in every major domain of Data Science. Each project builds your resume, portfolio, and confidence.

💡 Pro Tip: Document each project on GitHub and LinkedIn. Recruiters value well-documented projects even more than code alone.