Inaugural Batch

Learn In தமிழ்

Certification in
AI-Native Full Stack Development

A role-ready full-stack development program with AI-native skills - built to help you design, develop, and ship complete products end-to-end.

Learning Mode Online

Course Duration 4 Months

Time Commitment 8-10 Hrs/Week

3K+ students have already registered

i-Hub, IIT Patna Certified

5+ Tools

Capstone Project

Live Tamil Classes

i-Hub, IIT Patna Certified

5+ Tools

Capstone Project

i-Hub, IIT Patna Certified

5+ Tools

Capstone Project

Live Tamil Classes

i-Hub, IIT Patna Certified

5+ Tools

Capstone Project

What Makes This Different

Learn the Exact Stack Companies Use Today

Vishlesan i-Hub, IIT Patna Certification

(Minimum 65% overall attendance and 30% marks in cumulative evaluations score)

Full-Stack + AI Curriculum

Learn React, Python, FastAPI, APIs, databases, deployment, and AI-assisted workflows.

AI-Powered Development

Use tools like Cursor, Claude Code, OpenAI APIs & LangChain in real projects.

Build Real Products

Create and deploy full-stack AI applications as part of your capstone.

Placement Opportunities

Get placement assistance, resume reviews, and coaching.

(Eligibility: 7+ CGPA and 65% attendance)

Live Classes in Tamil

Learn from engineers and mentors from Microsoft, Amazon, Google & PayPal.

Career Outcomes

Software Development Engineer

₹12 - 37.4 LPA

Work on scalable product engineering & software systems.

Source: 6figr

Full Stack Developer

₹10 - 30.9 LPA

Build end-to-end web applications using React, Python & APIs.

Source: 6figr

GenAI developer

₹15 - 41.7 LPA

Build AI-powered applications using LLMs, APIs & automation stacks.

Source: 6figr

AI Solution Engineer

₹5 - 47 LPA

Deploy AI systems, automate workflows & integrate business AI tools.

Source: Glassdoor

3× avg salary vs non-tech peers after 1 year

70% of AI engineer roles require React + Python stack

AI jobs in Tamil Nadu grew 180% in 2026

Companies like Zoho, Freshworks & TCS are actively hiring React + Python + AI developers from Tamil Nadu right now.

What will you learn?

This 4-month online programme designed for college students and freshers to become role-ready software engineers and product builders. It combines core programming fundamentals in JavaScript and Python with full-stack development, AI-assisted coding workflows, and real-world deployment practices. By the end of the programme, learners build and ship a complete product as a capstone, creating a strong portfolio for entry-level developer roles.

Meet our Instructor Team

Vishal

UI Engineer, Microsoft | ex- Oracle

Vishal is a highly skilled Frontend Developer with over 10 years of experience specializing in JavaScript and modern JS frameworks like React and Node.js.

Sugan Krishna

Application Engineer, Amazon

Brings strong software engineering experience as an Application Engineer at Amazon, with prior full-stack development expertise across front-end and back-end technologies. Passionate about coding, building scalable applications, and continuously learning new technologies to create impactful solutions.

Sharon Suresh

Engineering Analyst Google

Sharon Suresh is a Growth & Partnerships professional with experience in business analysis and data-driven roles, having worked across companies like Porter, Airmeet and Google.

Venkatesh E

Senior ML Engineer at Paypal

Builds production models, working across dataset design, feature strategy, evaluation, calibration, and deployment readiness, along with performance optimization through Q-Optimizer.

Balaji Sundararaman

Mentor, e-Careers

Brings over 25 years of experience and is passionate about Data Science, Analytics, Machine Learning, and AI, and mentors aspiring data scientists while teaching fundamentals across domains like e-commerce and fintech

Abhinandan S P

Asst. Professor at IIT Palakkad

Abhinandan S.P. is an IIT Professor and Computer Scientist with a PhD from University of Göttingen. Specialises in Cloud Computing and AI, with industry experience at Motorola, Alcatel-Lucent, and HCL.

Vishal

UI Engineer, Microsoft | ex- Oracle

Vishal is a highly skilled Frontend Developer with over 10 years of experience specializing in JavaScript and modern JS frameworks like React and Node.js.

Sugan Krishna

Application Engineer, Amazon

Sharon Suresh

Engineering Analyst Google

Sharon Suresh is a Growth & Partnerships professional with experience in business analysis and data-driven roles, having worked across companies like Porter, Airmeet and Google.

Venkatesh E

Senior ML Engineer at Paypal

Builds production models, working across dataset design, feature strategy, evaluation, calibration, and deployment readiness, along with performance optimization through Q-Optimizer.

Balaji Sundararaman

Mentor, e-Careers

Abhinandan S P

Asst. Professor at IIT Palakkad

*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.

Course Details

Foundation

Foundation builds programmer fluency and full-stack craft over 10 weeks: JavaScript, web fundamentals, Git, AI-assisted coding, React frontend, and Python FastAPI backend, culminating in shipped full-stack applications.

Module wise curriculum

module 1

Programming Foundations

JavaScript fluency through variables, control flow, functions, arrays, and objects.

Computational thinking Logical reasoning Problem decomposition

module 2

Web Fundamentals

HTML semantics, CSS layout, and Tailwind for responsive, accessible interfaces.

Visual structure thinking Accessibility awareness

module 3

Version Control and Collaboration

Git, GitHub, branching, pull requests, and code review etiquette.

Team collaboration Code review discipline

module 4

AI as Coding Partner

Cursor and Claude Code as daily collaborators for prompt patterns and AI hygiene.

AI workflow fluency Critical verification habits

module 5

Frontend Fundamentals

React, components, hooks, state, and routing for real interactive web apps.

UI architecture thinking Component-based design

module 6

Backend Fundamentals (Python)

Python with FastAPI, REST APIs, and request and response design.

API thinking Data flow modelling

tools acquired

JavaScriptHTMLCSSTailwindReactPythonFastAPIGitGitHubVS CodeCursorClaude CodeVercel

Roles unlocked

Software Engineer InternTrainee Software EngineerJunior Frontend DeveloperJunior Backend Developer (Python)Junior Web Developer

Core Expertise

Industry Readiness Spotlight introduces autonomy-mode AI thinking and algorithmic problem-solving practice for entry-level technical screens, plus capstone integration where learners ship a real Indian-context product end to end.

Module wise curriculum

module 1

Vibe Coding and Spec-Driven Dev

Two autonomy modes for AI-augmented work, with verification loops and collaboration patterns.

Autonomy-slider thinking Spec writing discipline

module 2

DSA and Algorithmic Problem Solving

Arrays, strings, recursion, and time-complexity reasoning calibrated to entry-level technical screens.

Algorithmic thinking Interview readiness

module 3

Capstone Integration

Ship an Indian-context product end to end: spec, build, test, and deploy with CI/CD.

End-to-end ownership Product thinking Portfolio craft

tools acquired

System design canvasesExcalidrawCapstone deployment stack (full integration)Algorithmic-practice platforms (LeetCode, HackerRank)

Roles unlocked

Software Development Engineer (entry-level)Associate Product EngineerJunior Full-Stack Engineer at product startupsJunior AI Application DeveloperTrainee Engineer in AI-augmented teams

Industry Specialization

Core Essentials adds the data, deployment, testing, and Software 3.0 disciplines that turn classroom code into shipped products: PostgreSQL, Pytest, Docker, AWS deployment, CI/CD, and LLM API workflows.

Module wise curriculum

module 1

Database Fundamentals

PostgreSQL via Neon: schemas, queries, joins, and data modelling for real apps.

Data modelling intuition Query thinking

module 2

Testing and Code Review

Pytest fundamentals, the test pyramid, and verifying AI-generated code critically.

Quality mindset Critical verification

module 3

Deployment and Operations

Docker containerisation, AWS deployment, and GitHub Actions CI/CD pipelines.

Production readiness Operational thinking

module 4

Software 3.0 Essentials

LLM APIs, prompts as programs, RAG pipelines, and the eval discipline.

AI engineering mindset Eval-driven development

tools acquired

PostgreSQL (Neon)PytestDockerAWS Free TierGitHub ActionsLangChainChromaOpenAI APIClaude API

Roles unlocked

Junior Full-Stack EngineerJunior Backend Engineer (Python and FastAPI)Junior Software Engineer at early-stage startupsApplication Developer (Python and React stack)

Foundation

Module wise curriculum

module 1

Programming Foundations

JavaScript fluency through variables, control flow, functions, arrays, and objects.

Computational thinking Logical reasoning Problem decomposition

module 2

Web Fundamentals

HTML semantics, CSS layout, and Tailwind for responsive, accessible interfaces.

Visual structure thinking Accessibility awareness

module 3

Version Control and Collaboration

Git, GitHub, branching, pull requests, and code review etiquette.

Team collaboration Code review discipline

module 4

AI as Coding Partner

Cursor and Claude Code as daily collaborators for prompt patterns and AI hygiene.

AI workflow fluency Critical verification habits

module 5

Frontend Fundamentals

React, components, hooks, state, and routing for real interactive web apps.

UI architecture thinking Component-based design

module 6

Backend Fundamentals (Python)

Python with FastAPI, REST APIs, and request and response design.

API thinking Data flow modelling

tools acquired

JavaScript HTML CSS Tailwind React Python FastAPI Git GitHub VS Code Cursor Claude Code Vercel

Roles unlocked

Software Engineer Intern Trainee Software Engineer Junior Frontend Developer Junior Backend Developer (Python) Junior Web Developer

Core Expertise

Module wise curriculum

module 1

Vibe Coding and Spec-Driven Dev

Two autonomy modes for AI-augmented work, with verification loops and collaboration patterns.

Autonomy-slider thinking Spec writing discipline

module 2

DSA and Algorithmic Problem Solving

Arrays, strings, recursion, and time-complexity reasoning calibrated to entry-level technical screens.

Algorithmic thinking Interview readiness

module 3

Capstone Integration

Ship an Indian-context product end to end: spec, build, test, and deploy with CI/CD.

End-to-end ownership Product thinking Portfolio craft

tools acquired

System design canvases Excalidraw Capstone deployment stack (full integration) Algorithmic-practice platforms (LeetCode, HackerRank)

Roles unlocked

Software Development Engineer (entry-level) Associate Product Engineer Junior Full-Stack Engineer at product startups Junior AI Application Developer Trainee Engineer in AI-augmented teams

Industry Specialization

Module wise curriculum

module 1

Database Fundamentals

PostgreSQL via Neon: schemas, queries, joins, and data modelling for real apps.

Data modelling intuition Query thinking

module 2

Testing and Code Review

Pytest fundamentals, the test pyramid, and verifying AI-generated code critically.

Quality mindset Critical verification

module 3

Deployment and Operations

Docker containerisation, AWS deployment, and GitHub Actions CI/CD pipelines.

Production readiness Operational thinking

module 4

Software 3.0 Essentials

LLM APIs, prompts as programs, RAG pipelines, and the eval discipline.

AI engineering mindset Eval-driven development

tools acquired

PostgreSQL (Neon) Pytest Docker AWS Free Tier GitHub Actions LangChain Chroma OpenAI API Claude API

Roles unlocked

Junior Full-Stack Engineer Junior Backend Engineer (Python and FastAPI) Junior Software Engineer at early-stage startups Application Developer (Python and React stack)