Launch your future in Artificial Intelligence

AI analysts use machine learning algorithms to monitor, assess, collect, process, and track statistical information from sets of data. They use their AI analytical skills to help businesses drive customer engagement, improve prototype development, create more accurate reports, and increase business returns.

Machine learning engineers (sometimes known as ML engineers) design and create the AI algorithms that can learn and make the predictions essential for machine learning. They research, build, and design self-running artificial intelligence systems. They assess, analyse, and organise large amounts of data. They also perform tests to optimise machine learning models and algorithms. ML engineers are typically part of a larger data science team including data scientists, administrators, data analysts, data engineers, and data architects.

Artificial intelligence specialists work with companies and other organisations to find new ways to incorporate AI technology into their operations. They can build services such as chatbots, do image recognitions and natural language processing. Effective AI specialists help their customers make better decisions with their data. AI specialists work in such varied fields as healthcare, digital marketing, geology, environmental science, education, and manufacturing.

Computer vision engineers enable computers to read, analyse, and process digital images or videos. They develop complex machine algorithms that can understand and extract key information from images. Put simply, they help computers ‘see.’ Research in this area seeks to create understanding of visual stimuli that’s similar to the way a typical human sees the world. The biggest employers in this area are in electronics, eCommerce, electrical and aerospace engineering.

Natural processing engineers, sometimes called natural language processing (NLP) engineers, enable the interaction between everyday human language and a computer’s capacity to process and analyse natural language data. The complexities of human languages, with various grammar rules, slang terms and syntax challenge even the most sophisticated computer systems. NLP engineers are responsible for the programming behind technology like Google and Alexa, enabling them to understand what we’re saying.