DSA, Problem Solving & Interview Coding
Data structures and algorithms aimed squarely at the technical interview — coding patterns, complexity, competitive practice, and how to use AI assistants without losing the fundamentals.
Duration
5 days, extendable to a mentored project
Format
In-person
Certificate
Yes
Support
Lifetime
Contact for Pricing
Contact for detailed pricing
Skills You'll Learn
The engineering journey
A college can stop at any level or run the full journey. Each level filters for interest and aptitude, so the live-project cohort is made up of students who have already shown they can build.
Technology Discovery Workshop
Level 1 · 2–5 daysExposure to the technology, the tools and the career paths, finishing with a small working prototype, coding challenge, security exercise or cloud deployment depending on the track.
Intensive Upskilling
Level 2 · 4–6 weeksStudents who show interest and aptitude move into structured technical training. The emphasis shifts from understanding the technology to building with it.
Industry Live Project
Level 3 · 6–8 weeksTeams work on an industry-style problem against a defined brief, one per track.
Industry Mentorship
Level 4 · Alongside the projectWeekly technical, architecture, code and security reviews, plus deployment and career guidance while the project is being built.
Demo Day
Level 5 · 1 dayEvery team presents in the same industry format: problem, architecture, technology, implementation, working demo, industry impact.
What You'll Achieve
Develop an algorithmic solution to a complex real-world problem and benchmark its performance.
Weekly technical, architecture, code and security reviews while you build
Git and GitHub practices as they are used on a real team
Debugging, security review and deployment guidance
Career and interview guidance alongside the technical work
A Demo Day presentation: problem, architecture, technology, implementation, working demo, industry impact
Where Vibe Coding fits
A capability that runs across the engineering tracks, not a track of its own. Students learn how developers use AI assistants across the lifecycle — and are still held to the fundamentals that let them read, review, secure and test what those assistants produce.
AI-Assisted Software Development & Vibe Coding
- Convert ideas into prototypes
- Generate and understand code
- Debug applications
- Write tests
- Refactor code
- Build APIs
- Create UI
- Document applications
- Deploy applications