The Postgraduate Certificate in AI and Machine Learning Fundamentals is designed to provide participants with a comprehensive understanding of the core principles and applications of AI and ML. The program consists of four core modules:
Introduction to AI and ML: This module provides an overview of AI and ML concepts, including supervised and unsupervised learning, model evaluation, and optimization techniques.
Machine Learning Algorithms: Participants will explore a range of machine learning algorithms, such as linear regression, decision trees, support vector machines, and neural networks. They will learn how to select and apply the appropriate algorithm for different types of data and problems.
Deep Learning: This module delves deeper into deep learning techniques, covering topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Participants will learn how to design and train deep learning models for tasks such as image classification, natural language processing, and more.
Practical Applications: In this final module, participants will apply their knowledge to real-world projects and case studies. They will work on hands-on assignments to solve practical problems using AI and ML techniques, gaining valuable experience that they can apply in their careers.
Throughout the program, participants will receive guidance and support from industry experts and mentors, ensuring that they graduate with the skills and confidence to succeed in the rapidly evolving field of AI and ML.