📘 Course Details

🚀 Python + AI/ML Professional Development Internship (3 Months | 12 Weeks | Job-Oriented Internship)

📘 Program Overview

A project-driven internship for students, freshers, and beginners to gain practical experience in Python programming, AI, and Machine Learning. This internship emphasizes real-world problem solving, model building, and project implementation to prepare interns for industry roles.

📚 3-Month Internship Syllabus (12 Weeks)

Month 1 – Python & Data Handling (Weeks 1–4)

• Python installation & environment setup

• Variables, data types & operators

• Conditional statements, loops, and functions

• Basic Object-Oriented Programming (OOP)

• Data structures (lists, tuples, dictionaries, sets)

• File handling and Python modules

• Introduction to NumPy & Pandas for data manipulation

Month 2 – Data Analysis & Machine Learning Basics (Weeks 5–8)

• Data visualization with Matplotlib & Seaborn

• Exploratory Data Analysis (EDA)

• Handling missing data & feature engineering

• Introduction to AI & Machine Learning concepts

• Supervised learning: Regression & Classification

• Model training, testing, and evaluation

• Mini-project: Predictive model or dataset analysis

Month 3 – Advanced ML Concepts & Internship Project (Weeks 9–12)

• Unsupervised learning: Clustering (K-Means, Hierarchical)

• Dimensionality reduction basics

• Model optimization & evaluation techniques

• Introduction to basic deep learning concepts (TensorFlow/Keras)

• Internship project: End-to-end AI/ML project

  • Data preprocessing & feature selection

  • Model building, testing & validation

  • Project presentation & discussion

• Portfolio building & GitHub project upload

• Resume & LinkedIn profile preparation

• Career guidance & mock interview sessions

🎁 Internship Benefits

🎓 Industrial Internship Certificate

💼 One Major AI/ML Project + Mini Projects

📄 Resume & LinkedIn Profile Support

🎯 Mock Interview Practice

🤝 Free Career Counseling

🧠 Personality Development & Communication Skills

🔧 Git & GitHub Workflow Training