This module is a deep dive into the world of data analysis where patterns and insights are uncovered without predefined labels. You will describe core unsupervised learning concepts, implement clustering techniques like k-means and DBSCAN alongside dimensionality reduction methods, analyze algorithm results, and compare approaches across different datasets. This knowledge will enable you to unlock valuable insights from complex datasets and make informed decisions based on your analyses.

This module is designed to provide an in-depth exploration of cutting-edge techniques in ML. You will explain the fundamentals of reinforcement learning, implement algorithms such as Q-learning and policy gradients, evaluate models using appropriate performance metrics, and compare reinforcement learning to other ML paradigms. This comprehensive understanding will enable you to tackle complex problems and contribute to innovative solutions in the rapidly evolving field of AI.

This module is designed to provide a comprehensive introduction to neural networks and their applications in modern AI. You will describe neural network architectures, implement and train models using frameworks like TensorFlow and PyTorch, apply techniques such as CNNs, RNNs, and GANs to image and text data, evaluate model performance, and explain the relevance of deep learning within generative AI (GenAI). This knowledge will enable you to leverage deep learning effectively in academic and real-world scenarios.

This module is a focused exploration of the roles, responsibilities, and approaches in the field of AI and ML within a business environment. You will compare different corporate approaches to deploying and maintaining AI/ML systems, compare engineer responsibilities when working with in-house developed models versus pretrained LLMs, and distinguish how AI/ML engineers collaborate with business analysts, data engineers, data scientists, and other professionals. This knowledge will empower you to navigate and contribute effectively to AI/ML projects in a business environment.