Training Information

NCRIS Training

Build the skills to unlock Australia’s national research infrastructure.
Discover training programs designed to help researchers, end users, and industry partners get the most out of NCRIS facilities.

NCRIS offers hands-on workshops, online courses, tools, and community events that develop digital, analytical, and computational expertise. Learn everything from data management and research software to cloud-based analysis and advanced tools, plus practical training to operate specialised instruments and equipment such as microscopes, sensors, and imaging systems.

These programs make it easier to access and use infrastructure, improve research outcomes, and foster collaboration across disciplines and sectors. Together, they empower Australia’s research community to work smarter, share knowledge, and drive innovation.

Explore training opportunities across the NCRIS network

ANFF

ANFF offers free online training through its Enlightened platform, covering foundational and advanced micro- and nanofabrication techniques. Courses range from introductory overviews to specialised technical modules, helping researchers and industry users prepare for hands-on lab work and accelerate project outcomes

AARNet

As the network provider for Australia’s universities and research institutions, AARNet’s aim is to support all researchers to get the most of the network and the technologies available to support their work. Training is one of the ways we do this.

 

Our training is focused on workshops that demonstrate how to use the services we provide and improve the sector’s understanding of the capabilities of networks and data movement. We see this as a kind of ‘infrastructure literacy’, a term that encompasses the practical knowledge needed to transfer, store and manage research data (of any size) in complex scenarios throughout the research and data lifecycle.

Find out more

Population Health Research Network (PHRN)

The Population Health Research Network (PHRN) equips Australian health researchers with the skills to unlock the full potential of linked data

Our free, online training demystifies data linkage—helping researchers understand linked data and confidently navigate access and approval pathways through a flexible, modular, self-paced format.

We’re also launching a new online training program for clinical triallists, designed specifically for those looking to integrate linked data into clinical trials. Developed in partnership with the Australian Clinical Trials Alliance, the program is currently undergoing User Acceptance Testing.

To keep researchers at the cutting edge, PHRN hosts regular webinars featuring leading national and international experts, showcasing real-world insights and outcomes from PHRN-supported data linkage studies.

Explore our training, webinars and resources:

ARDC

Accelerate your digital research and innovation with ARDC’s best-practice guides and skill-building materials. Our skills development/training materials are tailored for researchers and focus on key areas of digital research, helping you build the expertise needed to thrive in a data-driven research environment.

Whether you’re managing data, developing software or using cloud platforms and tools, our resources cover essential topics including: 

  • Working with Research Data
  • Making Data FAIR
  • Working with Sensitive Data
  • Working with Research Software
  • Cloud Computing for Research

Explore these guides and training materials

TERN Australia

TERN education aims to advance understanding and contribute to managing Australia’s environment and unique ecosystems through awareness raising of our long-term environmental monitoring programs, protocols and data products.

We will do this by providing learners, educators, and, end-users, with a multitude of data-driven educational activities that can be accessed via a modular, self-paced format with online and offline options.

The TERN education approach: beginner, intermediate, and advanced

TERN tools and learning experiences are aimed at beginner, intermediate, and advanced levels. This approach enables individuals to self-define their interests and abilities regardless of their affiliations (e.g., K—12 teacher, citizen scientist, family). As individuals take more responsibility and control of their own learning, it is critical that TERN facilitates ample free-choice learning opportunities where individuals can easily access, use, and contribute to TERN products to meet their needs and interests. TERN will include in-person and virtual capabilities to enable educational and public use of the TERN ecosystem research infrastructure.

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EMBL Australia

EMBL Australia creates opportunities to internationalise Australian research, empowering and training our best early-career researchers and research leaders.

 

We provide training programs in niche areas for Australian life science researchers and offer unique opportunities for Australian PhD students to get a head start in their scientific career and develop international networks in Europe.

Pawsey

Pawsey Supercomputing Research Centre delivers a comprehensive and structured training offering designed to build capability and confidence in high-performance computing, data management, and research computing practices. Our training portfolio serves a broad audience—from new users taking their first steps into supercomputing environments, to experienced researchers seeking to refine and optimise their workflows. Through workshops, guided demonstrations, hands-on sessions, internships, and collaborative engagements, we emphasise practical competencies that researchers can immediately apply to their scientific and technical work.

 

At the heart of Pawsey’s training philosophy is a commitment to accessibility, clarity, and progressive learning. We ensure users can move through a well-supported development pathway: beginning with foundational topics such as Unix, storage systems, and job scheduling, then progressing to deeper areas including performance optimisation, code efficiency, workflow automation, and domain-specific methodologies. By working closely with partners across academia, government, and industry, Pawsey’s training not only builds technical skillsets but also strengthens Australia’s national research capability—empowering users to harness world-class computing resources for greater scientific impact and innovation.

Australian BioCommons

Bioplatforms Australia leads Australian BioCommons, a national bioinformatics infrastructure response to the ever increasing digitisation of the life sciences.

 

Australian BioCommons’ training program supports the life sciences community to develop transferable skills in bioinformatics. Our webinars and workshops focus on analysis and interpretation of omics-based data and the bioinformatics services, tools and infrastructure that support use of this data in life science research.

Find out more about upcoming events

National Computational Infrastructure (NCI)

The NCI training program equips users with the skills and knowledge needed to maximise the value of NCI’s services. It provides tailored support for NCI partners, NCMAS users, and the wider research community accessing NCI resources, delivered as part of the National Digital Research Infrastructure under the NCRIS framework.

 

NCI training program provides researchers and users with the skills and knowledge to make the most of Australia’s leading computational and data services. The training program consists of: 

  • Hands-on workshops
  • Self-paced courses
  • Comprehensive course documentation
  • Campus visits and road shows with partner organisations
  • Hackathons, internships and vendor-supported events

 

Our workshops focus on delivering: 

  • Introductory HPC skills – Courses to effectively use Gadi, the Australian Research Environment, Nirin Cloud, and Data services.
  • Advanced skills – Parallel programming, optimisation, profiling, CPU/GPU utilisation, NCI Data Repository access, and domain/application-specific training.
  • Emerging technologies – Machine learning, deep learning, AI model training, and new tools and workflows for cutting-edge research.