AI(ARTIFICIAL INTELLIGENCE) AND ML(MCHINE LEARNING)

Course Details

Description: By the end of this course, students will: Understand the basics of Artificial Intelligence and Machine Learning. Learn different types of ML algorithms, including supervised and unsupervised learning. Implement ML models using Python and libraries such as TensorFlow, Scikit-Learn, and PyTorch. Explore deep learning techniques, including neural networks and convolutional neural networks (CNNs). Work with natural language processing (NLP) and AI-powered chatbots. Handle large datasets and perform data preprocessing. Deploy machine learning models in real-world applications.

Category: Programming

Start Date: 2025-04-02

Difficulty: Beginner