Are you looking for an advanced IT qualification that delivers both leadership and IT technical skills? Try the ICT50220 Diploma of Information Technology. This nationally recognised diploma will teach you how to lead and facilitate an IT work team, review cyber security practices, create and maintain a cyber security awareness program, ensure your department’s ICT products and systems match the strategic direction of the organisation, and much more. This qualification has scope to achieve a specialisation in advanced networking, advanced programming, cloud engineering and architecture, advanced web development, and gaming. Enquire now for the full list of study units, entry requirements, and upcoming enrolment dates.

Get specialist skills in backend web development with the ICT50220 Diploma of Information Technology (Back End Web Development). This nationally recognised qualification teaches you how to integrate databases with websites, develop website information architecture, create and develop REST APIs, implement Quality Assurance (QA) processes for websites. The course also covers network and cybersecurity, IT strategic planning, leadership and client communication. Enquire now for the list of study units, entry requirements, and information about enrolment.

The ICT30120 Certificate III in Information Technology (Programming) is a nationally recognised qualification that delivers work-based coding and object-orientated language skills. During your studies you’ll gain a holistic introduction to the ICT career path while learning introductory programming techniques and critical thinking skills. The course covers: teamwork and communication, ICT ethics and privacy, working with clients, cyber security awareness, configuring and deploying IT testing tools, writing scripts for software applications, and more. Enquire now for the full list of study units, programming competencies, and upcoming enrolment dates.

The Data Analytics with Python: Elevate course offers flexible learning tailored to your schedule, whether over six months or a few weeks. It teaches foundational Python and SQL skills, with practical applications in data visualisation, exploratory data analysis, and simple data modelling. The course includes extensive practice through lab exercises and embedded activities, enhancing your coding and analytical skills. Students will also complete a mid-point and a final project to consolidate their learning and demonstrate their proficiency in data analytics.

The Professional Certificate of Competency in Data Engineering Foundations provides essential skills in data architecture, modelling, ETL processes, and big data technologies. It covers data collection, storage, processing, and analysis, equipping participants to develop robust data solutions. The course explores industry best practices, ensuring readiness for real-world challenges. By completion, participants will be proficient in designing and managing efficient data workflows and infrastructures, making them valuable in the evolving field of data engineering. Enquire now for a full list of entry requirements and available enrolment dates.

The Professional Certificate of Competency in Smart Grids provides engineers with a comprehensive understanding of smart electricity networks and their role in modern power systems. It covers smart grid infrastructure, communication technologies, energy storage, artificial intelligence, and cyber security. Topics include demand-side management, smart metering, and regulatory frameworks. Engineers will develop skills in modelling and simulation using specialised software tools. This qualification is suited to professionals in electrical, electronic, industrial automation, and data communication engineering seeking expertise in smart grid technologies. Enquire now for a full list of entry requirements and available enrolment dates.

The Professional Certificate of Competency in Big Data and Analytics in Electricity Grids introduces the use of big data and analytics in modern energy systems. It covers data acquisition, processing, and visualisation, along with machine learning models such as artificial neural networks and decision trees. Engineers will learn to apply data-driven solutions to real-world challenges in electricity grids. This qualification is ideal for professionals seeking to enhance decision-making and operational efficiency in the energy sector. Enquire now for a full list of entry requirements and available enrolment dates.