Certificate IV in Biometric Technologies in Maitland

Step into a supervisory or management role with the BSB40120 Certificate IV in Business. This nationally recognised qualification will level up your use of digital technologies and develop your critical thinking, business relationships and communication strategies. Even better you can choose from one of nine specialisation areas — leadership, administration, operations, sustainability, big data, cyber security, finance, records and information management, or procurement. Graduate with an arsenal of skills that support your actual job role. Enquire now for the list of study units and enrolment opportunities near you.

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.

The BSB40120 Certificate IV in Business (Big Data) develops skills to analyse, interpret, and apply data in a business setting. It covers data management, reporting, and critical thinking, alongside key business and operational practices. Learners gain the ability to support informed decision-making, solve problems, and guide others with limited responsibility for outcomes. This skill set is suitable for individuals seeking roles where data is used to improve workplace performance and support organisational goals. Enquire now for the full list of elective choices, entry requirements, and available enrolment dates.

Become an enrolled nurse with the HLT54121 Diploma of Nursing. This nationally recognised diploma is part of the enrolled nurse registration requirements of the Nursing and Midwifery Board of Australia (NMBA). The course covers: working as a nurse within the Australian healthcare system, performing clinical assessment of patients, principles of wound management, administering medicines and intravenous therapy, nursing patients with mental health issues, monitoring acute and chronic health conditions, palliative care approaches, infection controls, ethics and legalities of nursing. Enquire now for the list of entry requirements, nursing career outcomes, and upcoming enrolment dates. PLEASE NOTE: if you are seeking registration with NMBA always check with your course provider before enrolment to ensure the correct electives are selected.

The Certificate III in Laboratory Skills is a comprehensive program designed to equip students with fundamental knowledge and practical skills required to work effectively in a laboratory environment. Through hands-on training and theoretical instruction, learners will gain proficiency in conducting experiments, using laboratory equipment, and adhering to safety protocols, preparing them for entry-level positions in various scientific and research settings.

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 Certificate IV in Laboratory Techniques is an advanced program that focuses on refining students' laboratory skills and techniques, preparing them for roles that require greater responsibility and expertise. Through specialized training in data analysis, quality control, and advanced instrumentation, graduates will be equipped to undertake complex scientific investigations and contribute significantly to research and development projects across diverse industries.

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 Data Analytics: Transform course is ideal for those looking to enter the data/tech industry, focusing on turning data into actionable insights. It covers data collection, organisation, cleaning, and analysis to support informed decision-making. Students will learn Python programming, data visualization, SQL, regression modeling, and web scraping. They will translate data into actionable insights and drive business results. The course concludes with a capstone project, allowing students to apply their skills to a topic of their choice, demonstrating practical outcomes for the workplace.

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.