📘 Course Details

🚀 Python + AI/ML Industry-Ready Master Internship)(9 Months | 36 Weeks | Job-Oriented Internship)

📘 Program Overview

A comprehensive, project-driven internship for students, freshers, and aspiring professionals to become industry-ready AI/ML developers. Focuses on advanced Python, machine learning, deep learning, NLP, computer vision, real-world projects, deployment, and career preparation.

📚 9-Month Internship Syllabus (36 Weeks)

Month 1 – Python Foundations (Weeks 1–4)

• Python setup & environment configuration

• Variables, data types & operators

• Conditional statements & loops

• Functions, modules & OOP basics

• File handling and Python packages

Month 2 – Data Handling & Analysis (Weeks 5–8)

• NumPy & Pandas for data manipulation

• Data cleaning & preprocessing

• Exploratory Data Analysis (EDA)

• Data visualization with Matplotlib & Seaborn

• Mini-project: Dataset analysis

Month 3 – Machine Learning Basics (Weeks 9–12)

• Introduction to AI & ML concepts

• Supervised learning: Regression & Classification

• Model training, testing & evaluation

• Feature selection & model optimization

• Mini ML project

Month 4 – Advanced Machine Learning (Weeks 13–16)

• Unsupervised learning: Clustering & Dimensionality Reduction

• Model improvement & hyperparameter tuning

• Introduction to NLP & text preprocessing

• Advanced ML exercises & project enhancements

Month 5 – Deep Learning Fundamentals (Weeks 17–20)

• Neural Networks basics

• TensorFlow & Keras fundamentals

• Image processing & computer vision basics

• Deep learning model building & testing

• Mini deep learning project

Month 6 – Applied AI & NLP (Weeks 21–24)

• Natural Language Processing (NLP) workflows

• Sentiment analysis & text classification

• Chatbot basics

• AI applications in real-world scenarios

• Mini project: NLP implementation

Month 7 – Computer Vision & Advanced Projects (Weeks 25–28)

• Image classification & object detection

• OpenCV basics & image preprocessing

• Integration with ML/DL models

• Project work: Real-world computer vision application

Month 8 – End-to-End AI/ML Projects (Weeks 29–32)

• Planning and designing AI/ML solutions

• Dataset collection & preprocessing

• Model building, evaluation & optimization

• Integration of multiple AI/ML techniques

• Project review & debugging

Month 9 – Deployment & Career Preparation (Weeks 33–36)

• Model deployment using Flask/Django APIs

• Git & GitHub workflow

• Portfolio & GitHub project upload

• Resume & LinkedIn profile building

• Mock interviews (Technical + HR)

• Career guidance & placement support

🎁Benefits

🎓 Industrial Internship Certificate

💼 Multiple AI/ML Projects + Final End-to-End Project

📄 Resume & LinkedIn Profile Support

🎯 Mock Interview Practice

🤝 Free Career Counseling

🧠 Personality Development & Communication Skills

🔧 Git & GitHub Workflow Training