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EdVinci

Live, instructor-led program

Become a Full Stack AI Developer

Build real products, then make them intelligent with LLMs, RAG and agents. Live classes, six days a week.

Join a free masterclass Explore the program
  • ₹15,999 · EMI available
  • 7-day full refund
  • No coding experience needed
ai-document-assistant

Course assistant

RAG · streaming

How do I deploy my Next.js app with Docker?

Build a multi-stage Docker image, push it from GitHub Actions, then run it behind Nginx with HTTPS on EC212

[1] Module 5 notes · Docker multi-stage builds

[2] Module 5 notes · Deploying to AWS

Grounded in 2 sources

Ask anything about your notes…
Illustration of the AI document assistant you build in Module 6: RAG with citations, deployed with CI/CD.

The destination

What is a Full Stack AI Developer?

An engineer who combines modern software engineering with AI application development to build, deploy and maintain intelligent products, from the interface to the model and everything in between.

The stack you'll own

  1. Build the product

    • Frontend

    • Backend

    • Data

  2. Make it scale and ship

    • DSA & LLD

    • System design

    • Cloud & DevOps

  3. Make it intelligent

    • LLMs

    • RAG

    • Agents

    • Evals

  4. Production AI systems

    Built end to end, and owned by you

    1. Design
    2. Test
    3. Deploy
    4. Monitor
    5. Explain

Roles this curriculum prepares you for

Software engineering

  • Full Stack Developer
  • Software Engineer
  • Frontend Developer
  • Backend Engineer

AI engineering

  • AI Application Developer
  • GenAI Developer
  • AI Engineer

Why this program exists

Software is now built with AI inside it.

Most courses teach one half of the job. Full stack courses stop at CRUD apps. AI courses start with models and never ship a product. Teams now hire engineers who can do both, on a foundation of real engineering.

  1. How you learn

    Usually: Recorded videos, watched alone

    At EdVinci: Live, instructor-led sessions, six days a week

  2. What you learn

    Usually: A list of technologies, with no plan for the job

    At EdVinci: Every topic chosen from what interviews test

  3. AI engineering

    Usually: “AI” means calling a chat API once

    At EdVinci: RAG, agents, evals and tracing, built from scratch first

  4. Projects

    Usually: Projects that run on localhost and nowhere else

    At EdVinci: Every module ends in a deployed project you can explain

  5. DSA & design

    Usually: DSA and design left for you to figure out

    At EdVinci: DSA, LLD and HLD taught in parallel, not as an afterthought

Program at a glance

Six months of depth.Six weeks to put it together.

Two live tracks run side by side, Monday to Saturday, for 26 weeks. Then a six-week phase for your team capstone and interview revision.

26 weeks core + a 6-week capstone and interview phase

32weeks

26 weeks core + a 6-week capstone and interview phase

live sessions of 2.5 hours each, instructor-led

192

live sessions of 2.5 hours each, instructor-led

of live contact time across both tracks

480hrs

of live contact time across both tracks

deployed module projects, plus a team capstone

6+1

deployed module projects, plus a team capstone

DSA problems solved in Python, with weekly timed contests

~250

DSA problems solved in Python, with weekly timed contests

timed machine-coding rounds, frontend and LLD

~12

timed machine-coding rounds, frontend and LLD

The heart of the program

Every class is live.Every class is instructor-led.

  • Live coding

    Watch real problems solved step by step, and build along in the same session.

  • Ask in the moment

    Questions answered while the concept is still on screen, not days later.

  • Six days a week

    2.5-hour sessions across two parallel tracks, Monday to Saturday.

  • Every lecture recorded

    Catch up on anything you miss and revise whenever you need to.

The roadmap

32 weeks, end to end.

Python starts in week 1, so AI and LLD need no language intro. DevOps comes after you have an app to deploy. Design closes month 6, so your capstone starts with a method.

Stage by stage, and what you ship

Track A · Full stack + AITrack B · DSA, then designAfter month 6

6 stages, then the capstoneSwipe

  1. Weeks 1–5

    1
    • Track A: Web, HTML/CSS, JavaScript, TypeScript
    • Track B: DSA: Python, arrays, strings

    Week 5 milestoneFirst project live on Vercel; JavaScript interview quiz

  2. Weeks 6–9

    2
    • Track A: React + frontend machine coding
    • Track B: DSA: two pointers, sorting, recursion · mock OA 1

    Week 9 milestoneProduction React + TypeScript app; four timed frontend machine-coding rounds; DSA mock OA 1

  3. Weeks 10–13

    3
    • Track A: Node.js, Express, MongoDB
    • Track B: DSA: linked lists, stacks, trees, BSTs

    Week 13 milestoneFull MERN app with secure auth, tests and API docs

  4. Weeks 14–17

    4
    • Track A: Next.js, SQL, PostgreSQL, Redis
    • Track B: DSA: heaps, graphs · mock OA 2

    Week 17 milestoneMulti-tenant SaaS with payments on Next.js + PostgreSQL + Redis

  5. Weeks 18–20

    5
    • Track A: Testing, DevOps, AWS
    • Track B: DSA: dynamic programming

    Week 20 milestoneThat SaaS deployed to AWS with CI/CD, E2E tests, monitoring and a load-test report

  6. Weeks 21–26

    6
    • Track A: AI engineering: LLMs, RAG, agents
    • Track B: Tries, greedy, final mock OAs → LLD → HLD

    Week 26 milestoneDeployed RAG + agent document assistant with evals; ~250 DSA problems; LLD and HLD complete

After month 6 · Weeks C1–C6

Capstone & interviews

7
  • Team capstone project
  • Interview revision, then mock interviews

C6 · final milestoneTeam capstone demo day, individual code walkthroughs, then mock interviews

Every module ends with a deployed project and a demo where you explain your code, unassisted.

See the full curriculum

How the syllabus was built

Designed backwards from real interviews.

Every topic traces back to job postings and published interview reports for full stack and AI roles in India. If interviews test it, we teach it. If they don't, we leave it out.

7 interview findingsSwipe

  1. Product stack

    01

    TypeScript is treated as required. React / Next.js + Node + PostgreSQL is the common product stack, including in fresher listings.

    Covered inTypeScript in Module 1; React, Node, Next.js and PostgreSQL in Modules 2–4

  2. Frontend round

    02

    Frontend rounds ask JavaScript internals (polyfills, debounce, throttle, event loop output) and 60–90 min machine coding.

    Covered inJavaScript deep dive in Module 1; four timed machine-coding rounds in Module 2

  3. Backend round

    03

    Backend rounds probe JWT storage and revocation, query plans, multi-tenant isolation and testing strategy.

    Covered inAuth and security in Module 3; query plans and multi-tenancy in Module 4; testing in Module 5

  4. DevOps

    04

    Docker, Git, CI/CD and AWS basics are listed as standard in full stack postings.

    Covered inModule 5: you deploy your own SaaS to AWS

  5. LLD round

    05

    Product companies run LLD machine-coding rounds, judged on working, modular, SOLID code. Freshers get LLD more often than HLD.

    Covered inLLD in Python, then HLD, in weeks 23–26

  6. AI round

    06

    AI interviews probe chunking trade-offs, hybrid search, reranking, hallucination, evaluation, and building RAG without frameworks.

    Covered inRAG built from scratch before frameworks, plus a dedicated evals session

  7. Hiring-manager round

    07

    Hiring-manager rounds dig into your own projects and decisions.

    Covered inAn unassisted code walkthrough at every project demo

What AI engineer postings ask for

161Indian AI engineer postings: the share that mention each skill

  • Python78%
  • RAG75%
  • Agents73%
  • REST APIs73%
  • Evals46%
  • Classical ML46%

Data: RoleGPS · 2026

Your portfolio

What you'll build.

Six deployed projects from week 5 to week 26, then a team capstone. Every one ends with a demo and an unassisted code walkthrough, so you can explain every decision you made.

  • Deployed

  • Demoed

  • Explained

6 projects, then the capstoneSwipe

  1. Project 01 · Module 1

    Week 5

    Responsive web app

    Accessible, responsive and framework-free, written in JavaScript and TypeScript and deployed on Vercel.

    • HTML/CSS
    • JavaScript
    • TypeScript
    • Vercel

    Project details

  2. Project 02 · Module 2

    Week 9

    Production React app

    Routing, validated forms, server state, component tests, and a Lighthouse score above 90.

    • React
    • TypeScript
    • TanStack Query
    • Zod
    • RTL

    Project details

  3. Project 03 · Module 3

    Week 13

    MERN job portal or task manager

    Secure JWT auth, RBAC, S3 uploads, background jobs, real-time notifications, tests and OpenAPI docs.

    • Node
    • Express
    • MongoDB
    • Socket.IO
    • Vitest

    Project details

  4. Project 04 · Module 4

    Week 17

    Multi-tenant SaaS

    OAuth, tenant-isolated data, Redis caching and subscription payments with webhooks.

    • Next.js
    • PostgreSQL
    • Prisma
    • Redis
    • Razorpay

    Project details

  5. Project 05 · Module 5

    Week 20

    SaaS on AWS with CI/CD

    Containerised and deployed behind HTTPS, with E2E tests, monitoring, alerts and a load-test report.

    • Docker
    • GitHub Actions
    • AWS
    • Playwright
    • k6

    Project details

  6. Project 06 · Module 6

    Week 26

    AI document assistant

    RAG with citations, a LangGraph agent, an eval suite and tracing, all behind a Next.js frontend.

    • FastAPI
    • pgvector
    • LangGraph
    • MCP
    • Langfuse

    Project details

The capstone

A production Full Stack AI product

Teams of 3–4 · after month 6

Your team's own idea, taken from design doc to demo day: a Next.js frontend, Node or FastAPI backend, PostgreSQL + Redis, an AI feature with measured evals, CI/CD, AWS and monitoring. You own and explain at least one end-to-end feature yourself.

  1. Design doc
  2. AI + evals
  3. E2E tests
  4. AWS
  5. Demo day

Career preparation

From learning to interview-ready.

Career preparation is built into the program, not added at the end. By the time you start applying, you've practised every round you're likely to face.

The path to interview-readyMonths 1–6After month 6

  1. Weeks 1–22DSA + weekly contests

  2. Every moduledemo + walkthrough

  3. Weeks 21–26AI engineering: RAG, agents, evals

  4. Weeks 23–26LLD + HLD rounds

  5. After month 6interview revision

  6. Thenmock interviews

  7. YouInterview-ready

3 areas of preparationSwipe

  1. Your profile

    So your work gets noticed

    01

    • Resume & ATS review

      A one-page engineering resume built around the projects you've shipped.

    • GitHub, LinkedIn & portfolio

      Six deployed projects plus a capstone, clean READMEs and a profile that presents your work clearly.

    • Communication practice

      Practise explaining technical ideas clearly and confidently, for interviews and for the job itself.

  2. Every interview round

    So no round is a surprise

    02

    • Round-by-round revision

      AI engineering, DSA, JS, React, Node, SQL, LLD and HLD, revised round by round.

    • Explaining your work

      Walkthroughs of your capstone and projects for hiring-manager rounds.

    • HR & behavioural prep

      STAR stories, “why this company”, and the salary conversation.

  3. Practice and applying

    So you start applying ready

    03

    • Mock interviews

      Held after month 6, once every topic is taught and your capstone is done.

    • Job-search strategy

      Referrals, job boards, careers pages, and how to present your projects.

    • Job postings

      Relevant job openings shared with you, so you know where to apply. You apply directly.

We prepare you for the job search. We don't place you.

EdVinci doesn't offer placement, placement assistance or job guarantees. We don't promise interviews or salaries. We give you the skills, the portfolio and the interview practice to compete for roles yourself.

Fees & admissions

One program. One clear price.

No hidden charges and no countdown timers.

Program fee

Full Stack AI Developer

₹15,999For the
full program

EMI available · pay in easy monthly instalments

weeks
32weeks
live sessions
192live sessions
live hours
480live hours
7DAYS

7-day full refund. If the program isn't right for you, get 100% back within 7 days of your payment or your batch's first live class, whichever is later. Full terms

Apply now Try a free class first

Your fee includes

10 inclusions

  • 192 live sessions (480 hours) over 32 weeks
  • Two parallel tracks: full stack + AI, and DSA + design
  • Six module projects and a team capstone, with reviews
  • ~250 DSA problems with weekly timed contests
  • 18 interview-readiness sessions and mock interviews
  • Resume, GitHub and LinkedIn reviews
  • Communication practice and job postings
  • Recordings of every lecture
  • Access to the learning platform
  • Certificate of completion

Questions about the fee or EMI? Email support@edvinci.com.

Admissions

How to join

Four steps, from your application to your first live class. No coding experience needed to apply.

  1. Apply

    About 2 minutes

    A short online form about your background and goals.

  2. Assessment

    15–20 minutes

    15–20 minutes of basic logic, to check fit.

  3. Enrol

    Full fee or EMI

    Secure payment, then you're invited to the learning platform.

  4. Orientation

    Before class one

    Set up your tools and get ready for your first live class.

  5. Your first live classThen live, instructor-led classes, six days a week.

Start your application

Questions first? support@edvinci.com

Our promise

Honest promises. Real preparation.

We only promise what we control, and we deliver it in full. For everything else, we give you the preparation to earn it.

Our commitment

What we commit to

  • Every session taught live, on the published schedule
  • A recording of every lecture
  • The full syllabus, taught in full
  • Feedback on every module project and the capstone
  • A curriculum that keeps pace with AI tooling
  • The refund policy, honoured exactly as written

You bring the effort. We bring the rest.Live teaching, a clear structure, and honest feedback, every week for 32 weeks.

Honest by design

What we won't promise, and what we do instead

  • We don't promise: A job or placement

    Instead: We prepare you to earn one: six deployed projects, a team capstone, resume and portfolio reviews, and job postings shared with you. You apply directly.

  • We don't promise: Interviews at specific companies

    Instead: You choose where to apply, and we get you ready for every round with 18 interview-readiness sessions and mock interviews.

  • We don't promise: A specific salary

    Instead: Offers depend on the role and the market. We prepare you for the salary conversation as part of HR and behavioural prep.

  • We don't promise: That it will be easy

    Instead: It's demanding, and you won't do it alone: every session is live, every lecture is recorded, and every project gets feedback.

  • We don't promise: Results without your effort

    Instead: Your effort counts most. Weekly timed contests and a demo at the end of every module show your progress as you go.

FAQ

Questions, answered.

Straight answers to what people ask most before they join.

Is it beginner-friendly?

Yes. You don't need any prior experience. We start from the basics.

Are the classes really live?

Yes. All 192 sessions are taught live by an instructor, with live coding and questions throughout. Every lecture is also recorded.

What if I miss a session?

Every lecture is recorded, so you can catch up and revise any time.

Do you offer placement?

No. We offer career preparation (resume, portfolio, communication practice, mock interviews) and share job postings, but not placement or job guarantees.

Can I pay in instalments?

Yes, you can pay in instalments. EMI options are available.

Is there a refund policy?

Yes. You can get a full refund, for any reason, within 7 days of your payment or your batch's first live class, whichever is later. If we cancel, postpone or don't deliver, you're always refunded.

Still have a question?

Email support@edvinci.com, or ask us live in a free masterclass.

Browse all FAQs

Free live masterclass

Ready to become a Full Stack AI Developer?

Don't take our word for it. Attend a free live class, see how we teach, and ask us anything.

Join a free masterclass Apply for the next batch
  • ₹15,999 · EMI available
  • 7-day full refund
  • No coding experience needed

How a free masterclass works

  1. 1

    Reserve a free seat

    You get the joining link by email, with reminders a day and an hour before.

  2. 2

    Build along, live

    Live coding with an instructor, and something you've built by the end.

  3. 3

    Ask us anything

    It's live, so your questions get answered on the spot.

Free · Live · Online