A 12-week Professional Studio Experience that transforms final-year students and graduates from a student mindset into industry-ready professionals — with a live portfolio, placement pipeline, and verified growth report card.
The traditional academic system leaves a critical gap between theoretical knowledge and practical industry survival. The Career Readiness Training program is built to close that gap — permanently.
Build real products in a simulated studio environment — not toy projects or sandboxed exercises.
Everyone builds the same product-design and web-development base before branching into Full-Stack, Data Engineering, or DevOps.
Email etiquette, agile standups, LinkedIn presence, mock interviews — the curriculum universities skip.
High performers pitch directly to hiring partners, industry judges, and Leapfrog alumni at Demo Day.
This is not a classroom. It is a Professional Studio Experience — where you stop waiting for instructions and start solving problems.
Rather than passive lectures, trainees report to a corporate-structured "Studio" — with real managers, strict deadlines, and client-grade deliverables. Theory is consumed independently at home; in-person time is exclusively reserved for sprint reviews, problem-solving, and collaborative execution.
Every participant joins a cross-functional pod and picks a genuine specialization — Full-Stack Engineering, Data Engineering, or DevOps — instead of a shallow survey of everything.
Dedicated parallel workshops on "The Hidden Curriculum" — corporate communication, LinkedIn branding, personal portfolio building, resume optimisation, and mock interviews with real industry recruiters. The skills universities don't teach.
High-performing participants are directly connected with an active network of hiring partners. The program culminates in Demo Day, where teams pitch their live products to partner companies, associated institutions, and Leapfrog's own seniors and juniors.
Every trainee starts on the same foundation — product design and web development essentials — before branching into a 7-week specialization that mirrors a real product team.
Master advanced web development frameworks and system architecture, clean code standards, and rapid delivery under real production pressure. Learn to design and ship APIs the way a modern engineering team does.
Master data modeling, ETL/ELT pipeline orchestration, cloud warehousing, and big data processing. Build the data infrastructure that powers real analytics and product decisions.
Focus on CI/CD pipelines, cloud infrastructure provisioning, containerization, and automated deployment. Build the infrastructure that keeps the product healthy, tested, and continuously shipping.
Every trainee builds the same foundation before branching into a track — so the whole cohort speaks the same language by the time specialization begins.
Product design fundamentals in Week 1, then SDLC and web development essentials in Weeks 2–3 — a shared base for every track.
7 weeks in your chosen track — Full-Stack Engineering, Data Engineering, or DevOps — going deep on the skills that track demands.
Week 11 locks in infrastructure and staging readiness; Week 12 is full collaborative project implementation, ending at Demo Day.
| Task | Start Week | Duration | Phase | Focus & Core Objectives |
|---|---|---|---|---|
| Product Design & Concepts | Week 1 | 1 week | Foundational | User-centric design principles, wireframing, and product conceptualization |
| SDLC & Web Dev Essentials | Week 2 | 2 weeks | Foundational | Software Development Life Cycle, Git/version control, and web development fundamentals |
| Full-Stack Engineering | Week 4 | 7 weeks | Specialization | Advanced web development frameworks, system architecture, and API design |
| Data Engineering (DE) | Week 4 | 7 weeks | Specialization | Data modeling, ETL/ELT pipeline orchestration, cloud warehousing, and big data processing |
| DevOps Specialization | Week 4 | 10 weeks | Specialization | CI/CD pipelines, cloud infrastructure provisioning, containerization, and automated deployment |
| Track Integration & Prep | Week 11 | 1 week | Capstone | CI/CD pipeline integration, data pipeline setup, and staging environment readiness |
| Full Project Implementation | Week 12 | 1 week | Capstone | Collaborative, end-to-end project building mimicking real-world production environments |
A pooled organisational mentorship model with clear, defined roles at every level — from architectural standards to daily sprint operations.
An industry expert from the Leapfrog core team. Delivers core lectures, sets architectural standards, conducts technical evaluations, and personally signs off on the quality of each project before live deployment.
A dedicated full-time Assistant SE supports every cohort — monitoring progress, running daily project operations, and giving immediate debugging and technical support across all three tracks.
PM-focused and operationally agile with a strong logistics background. Manages daily sprint boards, enforces attendance and schedule, ensures SOP adherence, and handles all cross-team coordination and communication.
💡 Smaller pods, closer mentorship. In specializations with fewer trainees — like Data Engineering and DevOps — lead trainers step in directly during the capstone phase instead of routing everything through an assistant.
Graduating trainees don't just leave with a piece of paper. They walk away with a complete, verified professional identity ready for the job market.
Documenting 12 weeks of rigorous, industry-standard project work executed inside a real professional studio environment.
The 8-Axis Spider Graph showing your full development trajectory — a powerful visual proof of growth for every hiring manager.
A deployed, technically complex, team-built product on a live public URL — the centrepiece of your resume and LinkedIn profile.
A personalised letter of recommendation from the Senior Trainer, highlighting your specific strengths observed during the full simulation.
Designed to replicate real industry work timings and culture from your very first day — so the transition to a real job feels natural. This is a paid internship-style program, not a lecture course.
12 weeks, 3 days per week — 36 classes in total. An intensive, industry-paced schedule built around real project deadlines rather than a lecture calendar.
11:00 AM to 4:00 PM on studio days — matching real corporate work timings. The first 1.5 hours are structured room training; the remaining time is reserved for combined team project work.
6 combined sessions bring all 3 tracks — Full-Stack Engineering, Data Engineering, and DevOps — into the same room to align on the shared capstone project as one product team.
Lectures and conceptual readings are consumed at home at your own pace. Every in-person session is strictly reserved for sprint reviews, block resolution, and project execution.
Mark your calendar. The cohort runs across two teaching blocks with a scheduled online-learning stretch in between, closing with Demo Day.
Pod assembly, tool provisioning, and an introduction to the studio's rules of engagement.
Track-specific studio sessions begin — 3 days a week, 11 AM to 4 PM.
In-person studio sessions pause ahead of the online-learning stretch.
A remote learning block keeps project momentum going between in-person sessions.
Back in the studio for final sprints, polish, and capstone preparation.
Every team pitches its capstone project live to partner companies, associated institutions, and Leapfrog's seniors and juniors.
Every team — across every track — pitches its capstone project live, in front of the people who can actually hire them.
Think of it as an internship — but paid for. You're not sitting in a classroom; you're doing real, mentored work, and covering the cost of the studio, mentorship, and placement pipeline that makes that possible. Discounts are available — reach out to ask.
💡 Why the upfront package? True industry readiness cannot be built in 30 days. Full-stack development, data engineering, and DevOps are highly collaborative team efforts — the 3-month package ensures trainees stay fully dedicated, complete their sprint cycles, and secure their place at the final Demo Day.
Join the next cohort and graduate with a live product, a verified skill profile, and direct connections to hiring partners who are actively looking.
The short version of everything counselors get asked most.
A 12-week industry-simulation studio — technical training, mentor-guided real projects, and career prep, not just lectures.
IT/CS students past their 2nd year, recent graduates, or anyone who wants to be industry-ready before applying for jobs.
Full-Stack Engineering, Data Engineering, or DevOps — pick one after the shared 3-week foundation.
12 weeks, 3 days a week, 11 AM–4 PM — 36 classes total, including 6 combined cross-track sessions.
No — but you get CV review, mock interviews, portfolio guidance, and priority recommendations for top performers at Demo Day.
NPR 32,000 one-time or NPR 12,000/month. Max 30 students per cohort. Discounts available on request.