About Artificial Intelligence

Artificial Intelligence is an umbrella term that refers to a variety of different statistical methods. When used in the context of study and work, Artificial Intelligence usually refers to machine learning. Artificial Intelligence professionals use their detailed knowledge of machine learning to help computers act more human, solving problems for people along the way. By intaking data, machine learning software allows computers to understand and replicate some human behaviours, resulting in more advanced forms of technology. These days, Artificial Intelligence is used beyond the tech industry as well - just think of robotic vacuum cleaners and self-driving cars! From healthcare to government, there are AI opportunities in practically any industry you can think of.

　　

Is Artificial Intelligence right for me?

If you’ve got your sights set on working in Artificial Intelligence, you should be an analytical and solution-oriented person with good communication skills. It’s also great to have programming skills and a passion for technology. You should also have an ability to translate complex Artificial Intelligence concepts into layman’s terms in order to work collaboratively with other members of your organisation.

　　Typically, Artificial Intelligence professionals will work in a start-up or corporate environment, working standard hours between 9am and 5pm. If you’ve got a big deadline or product launch coming up, you may need to work overtime to ensure you meet your goals.

　　

Artificial Intelligence study options and costs

　　Because of the advanced nature of Artificial Intelligence, a minimum of a Bachelor’s degree will typically be required to get into the industry. A Master’s degree could also be a smart move, demonstrating your understanding of high-level programming. Updating your certifications every now and then is also a fantastic way of fine-tuning your skills and staying at the forefront of the industry.

　　Most Artificial Intelligence professionals have an educational background in mathematics, statistics, engineering or computer science, so a degree in one of these subjects could be a great starting point. A degree like this can cost around AUD$34,400 per year in Australia, CAD$38,000 in Canada or USD$50,000 in America. Given the high salaries and ongoing growth of the Artificial Intelligence field, investing in a solid education is sure to pay for itself!

　　

Future outlook

Artificial Intelligence is still an emerging field, meaning there’s an enormous shortage of skilled workers. The demand for AI skills in the workforce has doubled in the past three years and AI job postings have increased by a massive 119%, so there’s sure to be countless opportunities for talented tech professionals in a variety of industries.

　　

Career pathways for Artificial Intelligence graduates

　　

Machine Learning Engineer

　　The most common role within Artificial Intelligence is that of a machine learning engineer. These AI professionals are responsible for building and managing machine learning project platforms, applying predictive models and language processing to crunch through massive datasets.

　　

Data Scientist

　　Data scientists collect, analyse and interpret datasets by using predictive analytics and machine learning. These professionals also help to develop algorithms that make it easier to collect and clean data, getting it ready for analysis.

　　

Big Data Engineer or Architect

　　Big data engineers or architects are some of the most highly-paid AI professionals, earning a median salary of USD$151,307. As a big data architect or engineer, you’ll play a vital role in developing the environment for business systems to collect data and communicate with each other. Unlike data scientists, big data engineers and architects are more heavily involved with planning, designing and developing big data environments.

　　

Robotics Engineer

　　If you have more of an interest in robotics and machines, becoming a robotics engineer could be the avenue for you. These professionals bridge the gap between mechanics, electronics, computer science and psychology to design plans for effective robots. You might even be involved in designing the machines that actually put together robots.