For students
College gives you the fundamentals. AI now does the routine work you would have practised them on. Our programme trains the part that is left to you: designing systems, understanding the business, judging what is right and owning the result.
What you learn
AI tools are part of the work every day here, the way they are on modern engineering teams. These four are what you bring that the tools do not.
Design the system before anyone, human or AI, writes it.
Know the business the software exists to serve.
Decide what is right, including when AI says otherwise.
Carry the work from problem to production and stay accountable for it.
Further reading:AI skills for engineering studentsand the AI-era skills map.
How we train
Most courses teach theory and hope you apply it later. We reverse the order. The project comes first, and the theory follows because you need it to pass the next review.
You join a team and build an actual system end to end. Deadlines, shared code and trade-offs included.
Reviewers question your decisions. Why this design? What breaks at scale? The gaps in your understanding show up fast.
Now the fundamentals have a reason. You return to them to answer the questions you could not, and they stick.
You clear the review, ship, and move to a harder build. Each round adds pressure, scope and responsibility.
Tracks
You choose a primary track based on your strengths. All tracks work together on shared projects and face the same reviews.
How AI systems are built, evaluated and deployed, so you can work on them as well as with them.
Design and ship products that use AI where it adds real value, from prototype to production.
The economic, social and regulatory side of AI, and how organisations should adapt to it.
Turn complex AI research into learning material that other students can actually use.
What you leave with
Shipped systems, design documents and review records. Proof of what you can do, not a certificate of attendance.
Contributors to our research briefs are credited as authors, which counts for higher studies and for hiring.
Companies hire from Techvisk. Your sprint history is your interview.
Programme details
We are starting small on purpose. Reviews by practitioners take time, so we take a limited number of students and select them carefully.
Tell us who you are and what you have built so far.
A short take-home problem. We look at how you think, not what you have memorised.
A review-style interview on your solution. The same format you will face in the programme.
If it is a fit on both sides, you get a place in the next cohort.
Student stories
Questions
No. You need solid programming fundamentals and the willingness to be questioned on your work. We teach the rest.
No. We do not teach interview tricks. We train the skills companies are short of, and companies hire from Techvisk because of that.
Our reviews are run by practitioners and take real time per team. We keep cohorts small so every student gets that attention.
Yes. The programme is part-time and built around a college timetable. Expect a serious weekly commitment all the same.
Any. Most students come from computer science and related branches, but what we assess is how you think and build.
Apply
Tell us about yourself and what you have built. We will send you the assessment and the cohort dates.