This Professional Diploma in Artificial Intelligence takes a deep dive into the area of Machine Learning, Data Mining and Statistics. Using tools including, Jupyter Notebooks and Python, it goes through all stages, from model training to deploying models into a production, that a business requires to start harnessing the power of AI in their organisation.
Introduction to Artificial Intelligence
What is Artificial Intelligence (AI)? History of Artificial Intelligence. Essential Characteristics of the Artificial Intelligence environment.
Essential Python skills required to use the tools associated with Machine Learning. This includes an overview of some basic python syntax and an introduction to commonly used packages like Numpy. In addition, students will be introduced Jupyter Notebooks.
Get up to speed on some of the fundamentals of statistics to gain an understanding of how Machine Learning models are trained.
Using either the student’s own dataset or one of the 25 million available via Google’s dataset search, learn how to explore the data in depth and prepare it for model training.
Combining the skills acquired from both statistics and data mining, Machine Learning topic looks at model training and simulating the models in a production like environment. It will examine the different techniques of Supervised learning versus Unsupervised learning.