ICT
Use and support technology
Digital skills, office applications, hardware, networking, systems and organisational technology support.
Learning Platform course catalogue
Choose a practical learning pathway while retaining the formal ICT, Computing and Computer Science curriculum context.
3 published courses found for your selection.
ICT
Digital skills, office applications, hardware, networking, systems and organisational technology support.
Computing
Programming, software, web and mobile development, data, cybersecurity, AI and physical computing.
Computer Science
Algorithms, logic, abstraction, data structures, computer architecture and academic computing foundations.
Why the distinction matters: related tools may appear in more than one pathway, but the intended outcomes and assessment evidence are not interchangeable.
Clear pricing before payment
Go232Go separates annual learner registration from course tuition. A review screen confirms the complete amount before a payment provider opens.
Review the course, pathway and delivery dates.
See registration due, course tuition and the total.
Use an available payment provider.
Verified payment activates the applicable access.
Once every 365 days—not once per course.
Paid separately. Unapproved prices remain marked “To be confirmed”.
Registration is added only when it is due; there are no hidden charges.
Required learning remains text-first. Practical labs are designed for authorised, isolated environments.
Core curriculum
Computer science
Develop confident subject knowledge in algorithms, data representation, programming, computer systems, networks and cyber safety.
Expanded delivery portfolio
Built from the training team's collective experience in software engineering, education, hardware, networking, forensics and security.
Software development
Analyse user needs, model systems and design testable software using algorithms, formal reasoning and project evidence.
Computer science
Structured curriculum support across algorithms, programming, data representation, systems, networks and computational thinking.