AI in Action – Practical Machine Learning with Python is a summer internship program designed to provide students with hands-on experience in Artificial Intelligence and Machine Learning using Python. The course focuses on applying core AI concepts to real-world problems through practical implementation rather than theoretical learning. Students will begin with Python fundamentals and gradually move towards data handling, visualization, and building machine learning models using industry-relevant libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. The program emphasizes learning through coding, real datasets, and guided exercises, enabling students to understand how intelligent systems are developed for prediction, classification, and decision-making tasks. With a strong focus on experiential learning, the course includes practical assignments and a mini project, ensuring that students gain confidence in applying AI techniques to real-life scenarios and build a solid foundation for careers in AI, Data Science, and related domains.
Course Details
Explore the comprehensive course modules
Introduction to Python for AI/ML, Data types, variables, operators, Conditional statements and loops, Functions and, basic libraries, Introduction to NumPy Hands-on: Basic Python programs, Array operations using NumPy
Introduction to data in AI, Pandas for data handling, Data cleaning and preprocessing, Data visualization basics, Tools: Pandas, Matplotlib, Hands-on: Load dataset, Clean and visualize data
Machine Learning, Types: Supervised vs Unsupervised, Regression basics (Linear Regression), Classification basics, Tools:Scikit-learn, Hands-on: Predict values using regression, Simple classification model
Decision Trees and KNN, Model training and testing, Accuracy, precision, recall, Overfitting and underfitting, Hands-on:Train ML models, Evaluate performance
AI in daily life (recommendation, prediction), Mini applications: House price prediction, Student performance prediction, Spam detection, Hands-on:Build simple real-life ML models
End-to-end ML project, Model building and testing, Basic deployment idea (Streamlit intro), Mini Project: Prediction system,Recommendation system, Data analysis dashboard
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Dr. Shippu Sachdeva is an academic professional with a strong focus on emerging technologies and skill-based education. She has experience in delivering training programs and workshops aimed at enhancing students’ practical knowledge and industry readiness. She has actively contributed to the design and delivery of hands-on courses integrating programming, data analysis, and modern technological applications. Her teaching approach emphasizes learning through practical implementation using tools and real-world datasets, enabling students to build problem-solving skills. In the domain of Artificial Intelligence and Machine Learning, Dr. Sachdeva focuses on simplifying complex concepts and guiding students in developing real-life applications using Python-based tools. She is committed to equipping learners with industry-relevant skills aligned with careers in AI, Data Science, and related technology domains.
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