8 Months ✦ 100% Live Online ✦ Batch Start Date: 30 June 2026
Executive Post Graduate Certificate in AI-Native Software Engineering
Department of Computer Science & Engineering, IIT Kharagpur
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
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
Taught by Professors from IIT Kgp CSE Dept
Industry Led Programme with Projects & Capstone
Executive Alumni Status and Graduation Ceremony
From Full Stack to AI-Native Systems, led by IIT Kharagpur’s Computer Science & Engineering Department
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
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Module 2: Production-Grade LLM Infrastructure
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Module 3: Retrieval, Context Engineering & Evaluation
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Module 4: Agentic Engineering & Protocol Design
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Module 5: AI Systems Reliability, Security & Governance
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Capstone: The Proof
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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!
Fill your details and complete your application
Get shortlisted and Provisional Offer Letter
Block your seat and submit the required documents
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.
Systems You Will Build & Ship : Portfolio of real AI systems you can demonstrate, explain, and extend
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
Professor & Head, Dept. of CSE ✦ 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
Prof. Soumya K. Ghosh
Professor, Dept. Of CSE ✦ Research Areas: Spatial Informatics, Spatial Webservices, Cloud Computing, Spatio-Temporal Data Analysis
Programme Faculty - India’s Strongest Academic Bench in AI & Data Science
Prof. Sandip Chakraborty
Associate Professor, Dept. Of CSE ✦ Research Areas: Computer Networks, Human Computer Interaction, Pervasive and Ubiquitous Computing, Computer Systems
Programme Faculty - India’s Strongest Academic Bench in AI & Data Science
Prof. Bivas Mitra
Associate Professor, Dept. Of CSE ✦ Research Areas: Network science, Multilayer networks, Social networks, Data science, Anomaly detection, Mobile affective computing, Socio-mobile applications, Social-IoT
Programme Faculty - India’s Strongest Academic Bench in AI & Data Science
Prof. Jibesh Patra
Asst. Professor, Dept. Of CSE ✦ Research Areas: Software Engineering, Artificial Intelligence, System Security
Programme Faculty - India’s Strongest Academic Bench in AI & Data Science
Prof. Mainack Mondal
Asst. Professor, Dept. Of CSE ✦ Hardware Security & Verification, Human-Centered AI & Community Feedback, AI Safety & Misinformation, Privacy & Data Governance