Artificial Intelligence

Artificial intelligence is already starting to shape the world of tomorrow. Learn how to give computers the ability to solve complex problems by teaching them to learn and provide us with insights that would never be possible through human intelligence alone.

Understanding how to extract and manage large amounts of data is essential for teaching computers to solve problems. In this module, you will learn robust techniques for manipulating and interpreting data.

• Database and Structured Data
• MS Excel
• MS Access

In this module, you will develop specific techniques to teach computers to learn and classify data using training algorithms. You will learn the differences and benefits of supervised and unsupervised learning.

• Supervised Learning
• Unsupervised Learning
• Reinforced Learning

Python is a powerful open-source programming language that has many packages that are dedicated to machine learning applications. In this module, you will learn how to write a few simple scripts for manipulating data.

• Using the Anaconda distribution with Jupyter Notebook and Python
• Python IDLE, shell and syntax basics
• General arithmetic functions, properties and data types
• Creating & using variables
• Simple python functions
• Importing functions from other distributions
• Soliciting operator input to your programs
• Simple Lists, Tuples, Sets and Dictionaries
• Simple Loops and Software structs

You don’t need extensive programming experience. In this module, you will learn to use many of the software tools and packages, such as SciKitLearn that have been specifically designed for artificial intelligence applications.

• SciPy
• NumPi
• Pandas
• SciKit-Learn

Artificial neural networks are a set of algorithms that are designed to recognise patterns. In this module you will learn how to implement these powerful models, which are loosely based on human neural networks, to teach a computer to recognise patterns. In deep learning, many artificial neural networks are stacked together to improve the effectiveness of the learning process. We will explore Deep learning and discover amazing results in applications such as image recognition.

• Convolutional Neural Networks
• Fundamentals of Deep Learning
• Caffe, Theano, and Tensorflow

In this module, you will learn how neuromorphic computing is a unique way of teaching a computer to learn in an attempt to mimic the way the human brain works. This emerging technology has the potential to revolutionise artificial intelligence applications.

• True North
• SpiNNaker
• Human Brain Project

In this module, you will learn about cognitive learning. This state of the are approach combines the benefits of traditional machine learning approaches with neuromorphic computing for a new level of artificial intelligence. Cognitive learning has the potential to solve a variety of different problems.

In this module, you will explore the benefits of artificial intelligence as well as the potential issues from employment to social and ethical consequences associated with the large-scale use of intelligent systems. You will also examine how society and governments will need to be prepared for the developments of the future and explore the possibility of super artificial intelligence.

In this module, you will have the opportunity to implement many of the techniques you have learnt into a real scenario and use artificial intelligence to solve a unique problem.