Artificial intelligence (AI) and Machine learning (ML) Course Overview

The Artificial Intelligence (AI) and Machine Learning (ML) course is a comprehensive journey through the cutting-edge technologies shaping the future of computing. Starting with Module 1, learners will delve into Convolutional Neural Networks (CNN), understanding the fundamental layers such as Relu layer, pooling, flattening, and full connections. They'll gain hands-on experience in building and evaluating CNN models for Image classification.

In Module 2, the focus shifts to Recurrent Neural Networks (RNN), tackling the Vanishing Gradient Problem and exploring Long Short-Term Memory (LSTM) networks. Participants will learn to construct RNN models and apply them to real-world forecasting scenarios.

Module 3 introduces Restricted Boltzmann Machines (RBM), an energy-based model, and dives into contrastive divergence. Learners will build their own Boltzmann machines, explore machine evaluation techniques, and study practical applications through case studies.

This course will empower learners with the skills to develop sophisticated AI models, offering a competitive edge in the rapidly evolving field of artificial intelligence and machine learning.