About AI-Native Software Engineering Program

A production-first, AI-native engineering programme designed for working software developers to transition from traditional coding roles to building intelligent, AI-powered systems. Delivered in collaboration with IIT Kharagpur, the programme integrates full-stack engineering with modern AI capabilities - covering frontend, backend, retrieval systems, agentic workflows, and production deployment. It focuses not just on learning AI, but on using AI to execute software development end-to-end.

Established in 1951, IIT Kharagpur is India’s first IIT and among the world’s leading engineering institutions. With a strong legacy in computer science, artificial intelligence, and systems research, the institute brings academic rigour and real-world relevance to this programme, ensuring learners build industry-grade engineering capability.

This programme is built around how software is developed today, where engineers are expected to design systems, leverage AI across the stack, and deliver production-ready applications. Learners build one integrated AI system from architecture to deployment, gaining the ability to move from business problem to shipped product in real-world environments.

Eligibility

Applicants should have a B.Tech/M.Tech or B.E/M.E (Preferred: CSE, IT, AI, ECE, Electrical), or a B.Sc/M.Sc (Computer Science/Maths/Statistics/Physics/), BCA/MCA, with 50% in each. Candidates from other backgrounds are eligible with a minimum of two years of relevant technology experience.

An End-to-End AI-Native Software Engineering Programme led by IIT Kharagpur's CSE Department

From AI integration to production-grade systems. Bridging the Gap Between Using AI Tools and Engineering AI-Native Software.

100% Live Online, Faculty-led Sessions

Industry Led Programme with Projects & Capstone

Taught by Professors from IIT Kharagpur CSE Dept

Executive Alumni Status and Graduation Ceremony

From Full Stack to AI-Native Systems, led by IIT Kharagpur’s Computer Science & Engineering Department

100% Live taught by faculty

Delivered through 100 percent live instruction. 96 hours of live, interactive instruction by IIT Kgp faculty.

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Faculty Leadership

Taught exclusively by professors from the Department of Computer Science and Engineering, IIT Kharagpur.

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Academic Rigour

Research-backed instruction with strong theoretical grounding and applied relevance.

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Curriculum : The AI-Native Engineering Journey

Frontend → Backend → AI Systems → Agents → Production

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One Integrated System + Capstone Project

Build a single AI product across all modules (not demos) & deploy a live AI system.

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Executive Alumni Status & Award Ceremony

Certificate presentation held on campus at IIT Kharagpur.

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The Curriculum for Engineers Who Own the AI Layer. Design Systems, Build with AI, Ship to Production

Module 1: Building AI-Native Interfaces, Vibe Coding & Real-Time Systems

Create real-time AI interfaces with streaming, interaction, and production readiness.

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Module 2: Production-Grade LLM Infrastructure

Develop scalable backend systems that integrate multiple models, manage cost, and ensure reliability under real-world conditions.

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Module 3: Retrieval, Context Engineering & Evaluation

Build retrieval and reasoning systems that deliver accurate, evaluated responses using real-world, multilingual data.

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Module 4: Agentic Engineering & Protocol Design

Build agents that act, automate workflows, and follow strict guardrails.

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Module 5: AI Systems Reliability, Security & Governance

Ship AI systems with monitoring, security, and real-world reliability.

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Capstone: The Proof

Architect, deploy, and stress-test an end-to-end application integrating ML, GenAI, RAG, and MLOps, built to production standards.

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Stop using AI. Start engineering it.

Our Admission process

Complete your application and enrol in the program with four easy steps!

1
Fill your details and complete your application
2
Get shortlisted and Provisional Offer Letter
3
Block your seat and submit the required documents
4
Post verification, complete the balance payment to confirm enrolment.

Check your eligibility & block your seat now!

Executive Post Graduate In Ai Native Software Engineering Course Fee Flexible payment options and zero cost EMIs make your programme even more accessible.

EMI starting at INR ₹6,031/month. Block Your Seat Now At ₹10,000. Totally INR 1,77,000*

Beyond a Certificate - Built for Career Impact 

Earn recognised credentials and academic recognition.

Top 10 percentile performers in each cohort receive a Certificate with Distinction, recognised on the credential itself.

Get Started

Systems You Will Build & Ship : Portfolio of real AI systems you can demonstrate, explain, and extend

AI-Native Commerce Dashboard

Operator dashboard for a live D2C workflow. AI generates listings, pricing, and SEO in real time. WCAG-compliant, OAuth-secured, CI/CD-enabled.

Production-Grade AI Backend Infrastructure

FastAPI backend routing requests across LLMs by cost, latency, and complexity. Circuit breakers, failover, and tenant-level cost tracking.

Enterprise Knowledge & Reasoning System

Multi-hop RAG on real commerce data. Vector, hybrid, and graph-aware retrieval. Multilingual pipelines with RAGAS evaluation and CI gates.

Autonomous AI Operations Agent

Resolves queries & automates workflows with human-in-loop controls. LangGraph & MCP with prompt-injection defenses & audit trails.

Production Hardening, Reliability & Governance

Peak traffic simulation, intelligent model routing, and cost monitoring. Adversarial testing and DPDP compliance built in.

GitHub Portfolio

Clean repo with CI/CD, eval gates, semantic prompt versioning, comprehensive README

Your Capstone: Build Agentic AI Systems in Your Chosen Domain

Capstone Highlights

Build and ship a real-world AI-native application - engineered for production, not prototypes. Your Capstone: Engineer an AI-Native Software System for a Real Product Problem

What You’ll Create

Design a full-stack AI-native application integrating LLM services, RAG pipelines, agentic workflows, APIs, and production architecture to solve a real software engineering problem.

What You’ll Deliver

Deliver a deployed AI-native system with observability, cost controls, and eval pipelines - along with a technical report detailing architecture, performance, and production readiness.

Graduation Ceremony at IIT Kharagpur Campus

The programme concludes with an on-campus award ceremony at IIT Kharagpur, where participants receive their certificates from the Programme Director and Institute leadership.

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Niloy Ganguly

Core Faculty - Professor and Head ✦ Department of Computer Science and Engineering, IIT Kharagpur  || Research Areas  Artificial Intelligence and Machine Learning, Complex and Social Networks, Data and Web Mining, Natural Language Processing. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Sourangshu Bhattacharya

Programme Director and Lead Faculty  - Associate Professor ✦ Department of Computer Science and Engineering, IIT Kharagpur || Research Areas  - Artificial Intelligence and Machine Learning, Complex and Social Networks, Data and Web Mining. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Pawan Goyal

Professor ✦ Department of Computer Science and Engineering, IIT Kharagpur  || Research Areas  Complex and Social Networks, Data and Web Mining, Language, Speech and Human–Computer Interaction. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Plaban Bhowmick

Associate Professor ✦ Department of Artificial Intelligence, IIT Kharagpur || Research Areas  Artificial Intelligence, Natural Language Processing, Digital Libraries, Machine Learning. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Sudeshna Sarkar

Professor ✦ Department of Computer Science and Engineering, IIT Kharagpur || Research Areas  Artificial Intelligence and Machine Learning, Natural Language Processing, Language, Speech and Human–Computer Interaction. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Jiaul Hoque Paik

Associate Professor ✦ Department of Artificial Intelligence, IIT Kharagpur || Research Areas  Natural Language Processing, Information Retrieval, Big Data Analytics, Artificial Intelligence and Machine Learning. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Somak Aditya

Assistant Professor ✦ Department of Computer Science and Engineering, IIT Kharagpur || Research Areas  Artificial Intelligence and Machine Learning, Knowledge Representation and Reasoning, Probabilistic Logic, Statistical Relational Learning, Natural Language Understanding, Vision and Language, Language, Speech and Human–Computer Interaction. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Debaditya Roy

Assistant Professor ✦ Department of Computer Science and Engineering, IIT Kharagpur || Research Areas  Computer Vision, Neuro-Symbolic AI, Semantic Understanding of Images and Videos, Multimodal Language Models, Predictive Robotics, Autonomous Driving. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Abhijnan Chakraborty

Assistant Professor ✦ Department of Computer Science and Engineering, IIT Kharagpur || Research Areas  Responsible AI, AI for Social Good, Data and Web Mining, Social Networks. 

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Dr. Koustav Rudra

Assistant Professor ✦ Department of Artificial Intelligence, IIT Kharagpur || Research Areas  Responsible AI, AI for Social Good, Artificial Intelligence and Machine Learning in Healthcare, Information Retrieval, Natural Language Processing. 

Executive Post Graduate Certificate AI-Native Software Engineering

About AI-Native Software Engineering Program

Eligibility