Specialist Diploma in Applied Generative Artificial Intelligence Course

The Specialist Diploma in Applied Generative Artificial Intelligence (SDGAI) course is designed to provide a comprehensive introduction to the principles, techniques, and applications of Artificial Intelligence (AI) and Generative AI.

Course details

What the course covers, in detail

Module topics and in-class coverage, from rp-cet's own course page.

1. 01 equips students with the fundamentals of programming using Python. Students will learn how to solve problems through coding a software program. Fundamentals of software structure, variables, selection, and iteration constructs will be covered. Students will be able to create software to solve simple programming problems related to AI. Machine Learning Fundamentals This module covers basic concepts in machine learning and the use of various open-source libraries like scikit-learn, Tensorflow and Keras to build basic machine learning applications with perceptron, K nearest neighbours, neural networks, SVMs, decision trees and unsupervised learning. Students will also be introduced to XGBoost and other ensemble methods to solve classification and regression problems. Deep Learning Fundamentals This module aims to introduce participants to the key topics associated with deep learning. This module will cover the fundamental underpinnings of Artificial Neural Networks (ANN), Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) networks, and the fundamentals will be supported with practical work that involves participants developing and dep