Become a Full Stack AI Software Developer
₹4,00,000 – ₹10,00,000 LPA Verified Average Starting Remuneration
Master modern full-stack engineering across interactive React interfaces and Next.js server components, backed by scalable Node.js microservices and embedded PostgreSQL pgvector semantic indexing pipelines.
Modern Tech Stack
Master Next.js App Router conventions, React server components, Node.js REST servers, and strict Prisma ORM schemas.
RAG Integrations
Configure semantic document search distance indexes directly within PostgreSQL databases utilizing optimized pgvector extensions.
Live Deployments
Deploy high-availability serverless production domains via Vercel, Supabase cloud databases, and Docker container infrastructures.
What You'll Master
1. Frontend Architectures & Next.js Frameworks
Build high-performance interactive user interfaces employing Server-Side Rendering (SSR), React Server Components (RSC), and robust declarative state patterns.
- • Next.js App Router: nested layouts, streaming boundaries & server actions
- • Advanced state synchronization via modern hooks and context architectures
- • Designing semantic v2 design tokens with responsive CSS module layouts
2. Backend REST Microservices & Vector Indexing
Design secure API server backends and configure high-speed relational databases optimized for both tabular business records and high-dimensional AI embedding search.
- • Node.js & Express routing, custom middleware, CORS, and JWT authentication
- • Relational data modeling & automated type-safe migrations with Prisma ORM
- • Vector embedding generation and cosine similarity matching with pgvector
Taught by Active Full Stack AI Practitioners
Learn modern full-stack AI development directly from systems architects who actively lead development across our proprietary SaaS catalog (including DBERT Chat and Intern Management System) and venture studio client repositories.
We eliminate obsolete MERN boilerplate. Your code evaluations are conducted directly by senior full-stack developers who actively balance rendering performance, database connection pooling, and token streaming latency across commercial user volumes daily.
Production Projects You'll Ship to Live URLs
Semantic Enterprise Document Search Engine
An end-to-end Next.js application that autonomously ingests corporate PDF libraries, partitions complex content into semantic overlapping chunks, calculates embedding vectors via local models, persists payloads to PostgreSQL pgvector databases, and renders sub-100ms similarity results.
Real-Time Token Streaming Console & Auth Portal
Build an authenticated production chat dashboard that implements real-time Server-Sent Events (SSE) token streaming from custom open-weights endpoints, logging complete encrypted session transcripts and user usage parameters to Prisma relational tables.
Transparent Indian Tuition & Zero-Cost Financing
Review our simple upfront tuition schedules or select adaptable Zero-Cost EMI installment models managed through verified Indian banking networks without hidden costs or restrictive post-placement income percentages.
Includes intensive live training sprints, serverless cloud database test credits, rigorous 1-on-1 code reviews, and lifetime institutional certification registry verification.
- Immediate permanent access to repository architectural boilerplate
- Dedicated weekly 1-on-1 engineering debugging sessions
- Priority introduction to active Indian AI venture hiring squads
Facilitated via authorized retail financial partners with zero documentation surcharges or early repayment penalties for qualified engineering candidates.
- Expediated paperless loan authorization procedures
- Instant access to production servers upon installment activation
- Complete structural parity with upfront payment enrollments
Production Technologies Mastered
Frequently Asked Questions
Standard coding bootcamps isolate frontend and backend instruction from artificial intelligence architectures. Our program embeds enterprise AI directly into your stack from day one: you master PostgreSQL with pgvector semantic similarity distance indexing, implement real-time Server-Sent Events (SSE) token streaming, and build full RAG production pipelines directly inside modern Next.js App Router applications.
Incoming students should possess functional familiarity with core HTML5, vanilla CSS styling, and JavaScript fundamental syntax (ES6 arrow functions, promises, and async/await structures). Candidates completely new to programming should complete our Launchpad introductory modules prior to tackling server components and Prisma ORM migrations.
Absolutely. Every production capstone project is continuously integrated and deployed across active Vercel serverless domains, connected to managed cloud PostgreSQL databases (Supabase / Neon), and monitored via containerized telemetry—giving you live, public URLs for technical recruiters to evaluate.
Upon satisfactory completion of all repository pull requests and live technical interviews, your verified graduation credentials and project links are logged into our public authentication registry at dbert.online/verify, eliminating verification friction during enterprise hiring audits.
Graduates equipped with dual full-stack and vector database engineering proficiency represent highly sought-after candidates across Indian venture-backed startups and consulting firms, commanding verified starting compensation packages spanning ₹4.0 LPA to ₹10.0 LPA depending on interview performance.
Ship Full Stack AI Production Apps From Day One
Ready to architect interactive Next.js consoles, configure high-throughput PostgreSQL vector indexes, and deploy real-time RAG applications to verified public endpoints? Enrol in DBERT Industrial Training today.