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A modern career lab for modern students
This proposal outlines a full-scale partnership between your institute and TheWebVale to provide students with real industry exposure, internship opportunities, hands-on project experience, and continuous skill development in modern technologies like AI, Software Engineering, Web Development, and System Design. The goal is to make students job-ready, build strong technical foundations, and align the institutes with current industry standards.
Clear checkpoints
Clarity, velocity, and high standards with checkpoints built for institutes.
Launch Readiness
Baseline assessments, lab onboarding, and individual success plans co-signed by faculty.
Sprint Reviews
Fortnightly demos with rubric-driven feedback on code quality, UX, and business impact.
Industry Bridge
Guest sessions and briefs from Yash Jain's partners to keep work aligned with hiring needs.
Placement Studio
Mock interviews, resume clinics, and portfolio audits with direct referrals for top performers.
Objectives
What this partnership unlocks
Clear, measurable objectives to keep every semester aligned with outcomes for your institute.
Build a long-term pipeline of skilled students.
Provide real project-based learning instead of only theory.
Offer internships with a practical screening process.
Introduce students to AI agents, generative AI, and modern LLMs.
Train students in end-to-end software development.
Increase placement success through interview preparation & mentorship.
What we co-build
Pillars of the student careers program
Industry Pods
AI, software, web, and systems pods with mentors who ship every week.
Internships & Shadowing
Internship pipelines with shadowing so students learn by pairing, not just slides.
Career Assets
Git-first portfolios, demo days, and interview prep clinics to make students job-ready.
Internship Program (3–6 Months)
Structure
Opportunities for selected students with build-first learning.
- Internship opportunities for selected students (3–6 months).
- First 3–6 months unpaid, depending on performance and potential.
- Work on client projects, internal tools, AI agents, web/app builds, backend systems, and LLM integrations.
Internship Program
Outcome
Practical screening and upward mobility for high performers.
- High-performing students move to paid internships.
- Direct industry referrals and project-based roles.
- Placement guidance with practical screening.
Training & Classes
Structured curriculum + workshops
Regular classes, seminars, and practical workshops built around applied skills.
Core Technical Training
- AI agents and generative AI apps
- Tooling: GPT, Claude, Perplexity, Llama/Mistral
- LLM councils and agentic workflows
Full-Stack Software Development
- HTML, CSS, JavaScript foundations
- React + Next.js and React Native basics
- API development, Node.js, and deployment intro
Real Project Implementation
- Complete websites and simple mobile apps
- Automation scripts and agent workflows
- Portfolio-level projects and internal tools
System Design & Architecture
- Load balancing, queues, caching basics
- API design, failures, and retry flows
- Reliable systems and trade-offs
Databases
- SQL basics with PostgreSQL and MongoDB
- Firebase and GraphQL basics
- Simple relational modeling
Authentication Systems
- Login/sign-up and OTP flows
- Session vs JWT, role-based access
- Hashing and security practices
Program structure with outcomes
Transparent checkpoints, measured growth, and shared ownership between faculty and mentors.
| Phase | Focus | Duration | Outcome |
|---|---|---|---|
| Phase 1 · Immersion | Kickoff bootcamps, baseline assessments, and tooling setup for Git, cloud, and project tracking. | Month 1 | Every batch has a working repo, backlog, and success metrics agreed with institute's faculty. |
| Phase 2 · Build Sprints | Two-week sprints on AI, web, or platform tracks with code reviews and product thinking checkpoints. | Months 2-4 | 3 shipped projects per student with merged PRs and documented learnings. |
| Phase 3 · Industry Exposure | Partner-led briefs, shadowing, and internship interviews with weekly feedback loops. | Months 5-6 | Shortlisted candidates and an experience bank mapped to real job descriptions. |
| Phase 4 · Placement Readiness | System design, DSA refreshers, mock interviews, and portfolio polishing with hiring partners. | Months 7-8 | Students graduate with portfolios, referrals, and confidence to perform on day one. |
Choose the tracks that fit each batch
Interactive pods let students move between AI, web, and systems work without losing momentum.
Tap or click a track tab to switch the curriculum view.
AI & Automation Lab
Ship applied AI projects: retrieval-augmented apps, lightweight agents, and analytics with guardrails.
- Prompt-to-product workflows with evaluation gates
- RAG with vector stores + observability dashboards
- Automation with lightweight agents across ops and marketing
- MLOps hygiene: data versioning, monitoring, and rollbacks
What students ship
- 2 AI case studies with before/after metrics
- Shadowing hours with live client automations
- Confidence deploying to cloud and measuring drift
Seminars & Expert Talks
Monthly / bi-monthly topics
- Future of AI & automation
- Building strong resumes
- Designing real products
- Understanding microservices
- Getting into the software industry
- Career guidance & mentoring
Interview Preparation
Placement-focused practice
- Mock interviews
- Resume improvement
- Speaking professionally
- Portfolio building
- Live doubt sessions
- Assignments + feedback
ERP Portal + Doubt Management
Always-on student support
- Study materials and code samples
- Doubt sessions and attendance tracking
- Internship tracking and student evaluations
How we operate with faculty
Interactive governance keeps the program modern, responsive, and aligned with institute goals.
Shared dashboards for attendance, velocity, and placement funnels. Monthly steering meets to tune scope.
Placement ready by design
Students leave with confidence and clarity
- Demo-day ready builds with metrics, not just screenshots.
- Interview stories linked to real incidents from sprints.
- Faculty visibility into every milestone to support students faster.
Student Evaluation + Reporting
Transparent progress for every student
- Participation and consistency
- Assignments and practical output
- Interview performance
- Dedication and attendance
Proposed Professional Fee
₹1,500 per Student
Includes consulting, teaching, ERP setup, internship pipeline creation, student mentoring, and continuous support.
Engagement Model & Deliverables
What you will receive
1 year of continuous consulting
Regular classes and workshops
Seminars across the year
Full technical training curriculum
Internship selection & filtering
ERP access for students
Interview prep support
Real project guidance
Why this model works
Proven outcomes
- Students get real industry-level skills, not just books.
- Institute builds a stronger placement record.
- Students become confident and job-ready.
- Internship pipeline removes guesswork.
- AI & modern development training prepares future engineers.
Ready to build a job-ready batch together?
Bring industry expertise directly into your campus. We co-run sprints, internships, and portfolio builds so students grow from first-year learners to confident professionals.
Ready for more?
Transitioning to a full-time role?
Explore careers at TheWebVale and see open roles you could grow into.