Field training programme, 160 hours
RAHA for Computer Hardware, Equipment and Software Trading
A field training programme for cybersecurity, artificial intelligence, computer science and software engineering students, covering the hours of the field training course (160 hours) over 10 weeks. Students work on tasks and an applied project under the supervision of a company engineer, and receive the acceptance letter, hours logbook and evaluation that the university requires.
What you will get
Hands-on work on real tasks, with the paperwork you need to have the course credited.
Acceptance letter
An official letter from the company to submit to your university when training starts.
A supervisor from the company
An engineer who follows your tasks and reviews your work every week.
A small group
A limited number of trainees per intake so every student gets enough attention.
An applied project
A project you build during the training and keep on GitHub as part of your portfolio.
Hours logbook & evaluation
We document your hours and complete the supervisor evaluation form your university asks for.
Completion certificate
A certificate from the company confirming completion and the number of hours.
What we offer universities
We work within each university's field training requirements and cooperate with the academic supervisor when needed.
Clear documentation
Hours logbook, final report and supervisor evaluation using the forms your faculty uses.
No cost to the university
Fees are paid by the student only; there is no financial commitment for the university.
A clear schedule
160 hours over 10 weeks, 16 hours per week, with attendance follow-up.
Training tracks
Choose the track closest to your major, and we will help you decide when you register.
Systems & database development
Database design, writing queries and building simple web applications, with code review from your supervisor.
Mobile app development
Build a mobile app with Flutter and connect it to a database and a backend service.
Data analysis
Clean and analyse data with Python and produce reports and dashboards.
Cybersecurity
Systems and network security fundamentals, common vulnerability checks, access control and encryption.
AI & machine learning
Build a simple machine learning model on real data and evaluate its results.
Operating systems & infrastructure
Linux administration, processes and memory, and server and network basics.
How the ten weeks go
Clear stages, with a deliverable at each stage reviewed by your supervisor.
Week 1
Introductions, setting up the work environment and training on Git and GitHub; the acceptance letter and hours logbook are handed over.
Weeks 2–3
Foundation tasks for your track, such as databases, security basics or data preparation.
Weeks 4–5
Wider tasks that include connecting components and processing data, with code review from the supervisor.
Weeks 6–8
Work on the applied project: defining requirements, building a first version, then improving and testing it.
Week 9
Completing and documenting the project and writing the final report.
Week 10
Presenting the project to the supervisor, handing in the report, completing the evaluation and issuing the certificate.
Frequently asked questions
Quick answers before you register.
Cybersecurity, artificial intelligence, computer science and software engineering students who have reached the field training course in their study plan.
Reserve your place in the next intake
Leave your details with your university and faculty, and we will contact you to confirm your registration.