For individuals
AI & GenAI Training
Applied training in machine learning and generative AI engineering — building and evaluating real systems, not prompt tips.
Service detailTraining
IT Training
Most training programmes are written once and taught until the market moves past them. Ours is taught by engineers who spend most of their week on client delivery, so the work corrects the curriculum. You learn a role-aligned stack, build in the toolchain a professional team uses, and have every assignment reviewed as a pull request.
Book an admissions callFor individuals
- Format
- Live online, evenings & weekends
- Duration
- 16–22 weeks by track
- Cohort size
- Capped at 18
- Tracks
- Six, each mapped to a role
What's included
What the programme covers
Role-aligned tracks
Six tracks — Java full stack, .NET, QA automation, DevOps, data engineering and business analysis — each mapped to a specific job title rather than a general subject area.
Live instruction, not recordings
Every session is taught live by a practising engineer. Recordings exist for revision, but the teaching itself is synchronous so questions get answered while they matter.
Code review from working engineers
Assignments are reviewed the way a pull request is reviewed at work — with comments on structure, naming, tests and edge cases, not just a pass mark.
The real toolchain, not a sandbox
Git with branches and pull requests, a CI pipeline that will fail your build, a ticket board, a review queue. Nothing is handed in as a zip file.
Instructors who are still shipping
Every instructor spends roughly 40% of their time on live client delivery. It costs us teaching capacity and makes hiring harder, and it is why the curriculum changes when the work does.
Alumni office hours, permanently
Weekly office hours and the alumni channel stay open after your cohort ends, at no further cost. Most questions asked there come from people already in work.
Process
How the programme runs
Written down so you can hold us to it.
Assessment and track selection
A 45-minute conversation and a short technical baseline. We recommend a track based on your background and target role — and tell you plainly if we think the timing is wrong for you.
Foundations
Four to six weeks establishing language fundamentals, version control, testing discipline and how professional teams actually work day to day.
Core track
Eight to twelve weeks of role-specific engineering, delivered as a sequence of building projects that accumulate into a portfolio.
Capstone under review
A three-week build against a written specification, reviewed at checkpoints by an engineer who does not teach your cohort — a deliberately unfamiliar reader.
Capability review
A written assessment against your track’s competency list once the capstone is marked: what you can do unsupervised, what you can do with review, and what you cannot do yet. We do not soften the last one.
Outcomes
What you leave with
- A portfolio of four to six reviewed projects with source history you can walk an interviewer through
- Working familiarity with the tools of a professional team — Git, CI, ticketing, code review, stand-ups
- A written capability review against your track’s competency list, including where it says you are not ready
- A development environment you configured yourself and can rebuild from scratch
- The habit of working in small reviewed increments, which is what survives a change of stack
- Alumni access to office hours and the community channel, permanently
Detail
Tracks and curriculum
Java Full Stack
- Java 21
- Spring Boot
- JPA & Hibernate
- React
- REST & OpenAPI
- JUnit
- PostgreSQL
.NET Full Stack
- C#
- .NET 8
- ASP.NET Core
- Entity Framework
- Blazor or React
- xUnit
- SQL Server
QA Automation
- Selenium
- Playwright
- TestNG
- API testing
- CI pipelines
- Performance basics
DevOps
- Linux
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- AWS or Azure
- Observability
Data Engineering
- SQL
- Python
- Airflow
- dbt
- Spark
- Snowflake or Databricks
- Dimensional modelling
Business Analysis
- Requirements elicitation
- User stories
- Process modelling
- SQL for analysts
- Agile ceremonies
- Stakeholder reporting
Questions
What people ask about this service
Including the ones with answers you might not want.
Do I need a computer science degree?
No. Roughly half of each cohort comes from outside computing — accounting, healthcare, logistics, teaching and the military are all well represented. What the assessment looks for is comfort with structured problem-solving and the time to commit, not prior credentials.
How much time does it take each week?
Plan for 12 to 15 hours: two or three live sessions of two hours each, plus assignment work. Most participants keep a full-time job throughout, which is why sessions run evenings and weekends.
What does the programme deliberately not cover?
Three things, and better to hear them now. It does not include job placement, interview coaching or résumé work — we train, and do not run a placement service. It does not make you a senior engineer: sixteen to twenty-two weeks produces someone who can be trusted with supervised work on a real team, which is a smaller claim than the industry usually makes. And it does not reach specialisms outside your track, because covering those shallowly would cost the track its depth.
What does it cost?
Tuition varies by track. We publish the full figure before you enrol, offer interest-free instalments over the programme duration, and do not use income-share agreements. Tuition is the only money the programme takes: no deferred fee, no share of what you earn later, nothing contingent on where you work.
Can you sponsor a work visa?
Not for training participants. Enrolling confers no immigration status and we cannot sponsor anyone attending a programme. If your status restricts what you may do while studying, check before you enrol.
Still unresolved? Ask us directly.
Related
Services that usually accompany this one
For enterprises
Workforce Solutions
Vetted engineers, delivered as individual placements or complete teams — screened by engineers, not by keyword match.
Service detail
Next step
Talk to an admissions advisor
A 30-minute call to review your background, recommend a track, and say plainly whether this is the right year for it.