9.Introducing AI with Python

This course introduces programming, data science, and AI using Python and PyTorch through a hands-on, project-based approach. Students start by learning Python basics such as variables, loops, functions, and data structures, then explore tensors in PyTorch for simulations like dice games. They progress to data visualization with Matplotlib and Seaborn, creating meaningful charts from real-world datasets. The course then covers object detection using pretrained models like YOLO and Faster R-CNN, applying them to everyday scenarios. Students also build AI-powered chatbots with transformer models such as GPT-2, while discussing limitations and ethics. Finally, they explore Retrieval-Augmented Generation (RAG) and complete projects like custom dashboards, object detectors, and chatbots. By the end, students gain a strong foundation in coding, visualization, AI applications, and practical problem-solving.