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EdVinci

The program

One program to ship AI products end to end

Full stack engineering, DSA, system design and AI engineering, taught live in two parallel tracks. You ship six deployed projects and a team capstone, and practise every interview round along the way.

Apply now See the curriculum
  • 32 weeks
  • 480 live hours
  • 6 projects + capstone
  • ₹15,999 · EMI

At a glance

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

26 weeks of live teaching in two parallel tracks, then 6 weeks to build a team capstone and get ready for interviews.

Your 32 weeks6 months + 6 weeks

Weeks 1–26 · six months

Six months of depth

Two live tracks in parallel, three classes a week each. Every module ends in a deployed project.

Track A · Full stack + AITrack B · DSA, then design

Weeks 27–32

Six weeks to put it together

A team capstone, interview revision, then mock interviews.

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

Live classes

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.

Track A3 live classes a week

Full stack + AI development

Web, JavaScript, TypeScript, React, Node, databases, Next.js, DevOps and AWS, then AI engineering.

  1. Wk 1–5Module 1: Web, HTML/CSS, JavaScript, TypeScript
  2. Wk 6–9Module 2: React and frontend machine coding
  3. Wk 10–13Module 3: Node.js, Express, MongoDB
  4. Wk 14–17Module 4: Next.js, SQL, PostgreSQL, Redis
  5. Wk 18–20Module 5: Testing, DevOps, AWS
  6. Wk 21–26Module 6: AI engineering

A deployed project at the end of every module

Track B3 live classes a week

DSA, then design

Data structures and algorithms in Python with timed contests, then low-level and high-level system design.

  1. Wk 1–22DSA: DSA in Python · ~250 problemsWeekly timed contests and mock online assessments
  2. Wk 23–24LLD: Low-level design: OOP, SOLID, patternsPractise a 90-minute LLD round, then a live review
  3. Wk 25–26HLD: High-level design, including AI systemsDesign discussions across frontend, backend, data and AI

Practice for DSA, LLD and HLD interview rounds

Both tracks run in parallel for weeks 1–26, then come together.

Weeks 27–32 · capstone + interview prep

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

How it works

Six pillars, one program.

Live teaching, practice, projects, AI engineering, feedback and career preparation, all in one program.

6 pillarsSwipe

  1. 01

    Learn live

    Every class is taught live by an instructor, with live coding and questions throughout.

    192live sessions

  2. 02

    Practise

    ~250 DSA problems, weekly timed contests and ~12 machine-coding rounds.

    ~250DSA problems

  3. 03

    Build

    Six deployed projects and a team capstone, each ending in a code walkthrough.

    6 + 1projects + capstone

  4. 04

    Master AI

    LLMs, RAG with citations, agents, MCP, evals and tracing, built from scratch first.

    Wk 21–26AI engineering module

  5. 05

    Get feedback

    Reviews on every module project, timed rounds and the capstone.

    6module projects reviewed

  6. 06

    Get career-ready

    Resume, portfolio, communication practice, job postings and mock interviews.

    18interview-readiness sessions

The learning loop

How every module runs

Six steps, repeated for each of the 6 modules.

  1. 01

    Learn

    live concept

  2. 02

    Practise

    labs & DSA

  3. 03

    Build

    module project

  4. 04

    Demo

    code walkthrough

  5. 05

    Feedback

    review & grade

  6. 06

    Improve

    next module

Then again, for the next module

Missed a class? Every lecture is recorded. Watch the recording, catch up at your own pace, and revise any topic whenever you need to.

Who it's for

Built for people who want to build.

This is an intensive program with live sessions six days a week. It suits people who are ready to commit, and we'd rather tell you now if it isn't the right fit.

This is for you if…

  • You're a final-year student, recent graduate, or professional moving into software engineering
  • You're starting from scratch, or you already code a little. Both work.
  • You can attend live sessions Monday to Saturday and practise in between
  • You want to understand why things work, not just copy code
  • You want to build and deploy real products with AI inside them

This isn't for you if…

  • You're looking for a guaranteed job or placement
  • You want recorded videos to watch at 2× speed
  • You're mainly after a certificate
  • You can't set aside time on most weekdays for six months

Not sure yet? Join a free masterclass and see how we teach before you apply.

See free masterclasses

Before you start

  • Prerequisite

    None

    We start from the basics: Python from week 1 in Track B, and the web and JavaScript from week 1 in Track A.

  • Time

    2.5 h a day, 6 days a week

    2.5 hours of live class, six days a week, with labs, assignments and DSA practice in between.

  • Laptop

    4 GB RAM minimum

    Windows, macOS or Linux with 4 GB RAM minimum, a stable internet connection and a working mic.

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

Assessment & certification

Measured on what you can do.

Your grade comes from the work you ship and the problems you solve, not from attendance alone or a single final exam.

How you're graded

Weeks 1–26

Course work

100%
  • 30%Module projects (6)
  • 25%DSA contests & problems solved
  • 25%Machine coding & design exercises
  • 20%Weekly Track A assignments

After month 6

Team capstone

100%
  • 35%Working product & code quality
  • 20%Design doc & architecture
  • 20%AI feature with measured evals
  • 15%Testing, deployment, monitoring
  • 10%Individual walkthrough & demo

Your path to the certificate

  1. Complete weeks 1–26

    75% attendance in each track, all six module projects submitted, at least 200 DSA problems solved.

  2. Enter the capstone phase

    Six weeks of team capstone and interview revision.

  3. Demo day → certificate

    Your Certificate of Completion from EdVinci is issued after your capstone demo.

  4. EdVinci

    Certificate of Completion

    Full Stack AI Developer · 32 weeks · 480 live hours

The certificate records that you completed the program. It isn't a university degree or a government accreditation.

What we believe

Honest teaching, real engineering.

Four ideas behind how the program is built, and where you'll see each one in it.

  1. 01

    Fundamentals first

    Frameworks change. HTTP, the event loop, SQL, data structures and system design don't. We build on those.

    In practicePython and the web from week 1, DSA and system design in their own track

  2. 02

    Live beats recorded

    You learn faster when you can ask the question the moment it comes up, and watch a problem being solved in real time.

    In practice192 live sessions, with recordings for revision

  3. 03

    Build, don't just watch

    Every session ends in a lab. Every module ends in a deployed project and an unassisted code walkthrough.

    In practice6 deployed projects and a team capstone

  4. 04

    Be honest about outcomes

    We prepare you thoroughly for interviews. We don't promise jobs, salaries or placements, and we say so plainly.

    In practiceNo job, salary or placement promises, anywhere

Fees

One program. One clear price.

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.

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