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An AI Engineer designs and develops artificial intelligence systems to solve complex problems and improve business processes. You might work in technology companies, research institutions, or organisations adopting AI solutions. AI Engineers focus on creating algorithms, building machine learning models, and integrating AI technologies into various applications. You’ll collaborate with data scientists and software developers to ensure the effectiveness and efficiency of AI systems.
AI Engineers play a crucial role in advancing technological capabilities. You’ll need strong programming skills, a deep understanding of machine learning techniques, and the ability to analyse and interpret data. You'll work closely with stakeholders to align AI solutions with organisational goals and user needs.
There are 8 courses available for people who want to become an AI Engineer. These are the top 5 most popular courses.
Possible job outcomes:
The Bachelor of Data Science equips students with skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data handling, crucial for roles in business decision-making, corporate strategy, and government planning. The course enhances problem-solving abilities and teaches effective communication to both technical and non-technical audiences. It emphasises independent and team work, considering ethical and legal aspects. Students will learn to analyse and manage large data sets, using technologies like Python and R programming languages, and evaluate insights and solutions. .
Average duration: 3 years.
The Bachelor of Computer Science (Artificial Intelligence) delves into the transformative potential of AI and machine learning in contemporary society. Students acquire hands-on expertise with cutting-edge methods and technologies, encompassing cloud computing and software structures. The course offers real-world AI experiences across diverse industries through Work Integrated Learning. Emphasising areas such as robotic programming, expert systems, knowledge representation, data visualisation, and machine learning, it equips graduates to meet the pressing AI needs of various modern sectors..
The Master of Information Technology (Data Science) offers a comprehensive understanding of data science principles. This course is meticulously designed to equip students with the proficiency to provide tangible business solutions, leveraging the powers of data mining, analytics, and advanced data engineering. Furthermore, it accentuates the importance and application of visual datasets in the realm of business intelligence. Through this rigorous academic journey, students will be primed to navigate and transform the multifaceted landscape of data-driven decision-making..
Average duration: 24 months.
The Master of Information Technology (Computing) equips students with the skills to adeptly design, assess, and execute IT projects while anticipating future industry requirements. The curriculum delves into key areas such as IT project management, software creation, programming languages, artificial intelligence, and software design, ensuring a comprehensive understanding of the dynamic IT landscape..
The Master of Information Technology (Artificial Intelligence) is designed to mould professionals skilled in creating sophisticated systems with capabilities for learning, planning, and reasoning. Students will be immersed in pivotal areas including knowledge representation, machine learning, and data mining. Furthermore, they will gain a comprehensive understanding of the ethical dilemmas posed by digital innovations and the security facets of AI applications. This course promises a thorough grounding for those passionate about advancing in the rapidly evolving sphere of artificial intelligence..
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Here are some potential career pathways within data analytics and data sciences. Click on an occupation to learn more about the role and the qualifications that can help you get started in this industry.
Data Analytics
Junior Data Analyst
$1,000 weekly pay
AI Engineer
$1,250 weekly pay
Data Administrator
Data Analyst
$1,400 weekly pay
Data Business Analyst
Data Insights Analyst
Data Miner
Information Analyst
Insights Analyst
Machine Learning Engineer
Analytics Manager
$1,500 weekly pay
Big Data Engineer
Business Data Analyst
Chief Data Officer
Data Analytics Consultant
Data Analytics Manager
Data Consultant
Master Data Analyst
Data Sciences
AI Architect
AI Ethicist
AI Specialist
Algorithm Engineer
Clinical Data Analyst
$1,865 weekly pay
Computer Vision Engineer
Data Strategist
Health Data Analyst
Predictive Modeller
Research Analyst
Research Assistant
Research Officer
$1,480 weekly pay
Researcher
$1,950 weekly pay
AI Consultant
Analytics Consultant
Bioinformatics Scientist
$3,203 weekly pay
Computational Biologist
Computational Linguist
Data Scientist
$2,115 weekly pay
Geospatial Scientist
Senior Data Scientist
Social Scientist