In the week 2, participants received a comprehensive introduction to Artificial Intelligence (AI). AI's definition, examples, use cases in various fields, and different AI categories. Further the week delves deeper, explaining AI's essence, with a focus on definition, examples, and cross-domain applications. This week students also explored AI theory, introducing AI agents and their types. Lastly, the week provided insights into machine learning, detailing machine learning pipelines and various algorithms. These sessions collectively equipped participants with a foundational understanding of AI's principles and its integral component, machine learning.

The third week introduces the participants to Machine Learning, What is Machine Learning, Machine Learning Pipeline, Types of Machine Learning Algorithms, Tasks in Machine Learning, Clustering, Regression, Uses of Machine Learning, Introduction to Natural Language Processing.

Furthermore In the upcoming sessions, participants learn to implement Linear Regression from scratch in Python. Further in this week session covered Neural Networks & Deep Learning theory. Participants implemented a Neural Network from scratch and engaged in a practical project. These sessions combined theoretical understanding with hands-on experience in both Linear Regression and Neural Networks.