IIT Kharagpur - Executive Post Graduate Certificate in AI-Native Software Engineering

The Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur is an 8-month, live online program for working software engineers who need to build AI into the core of their systems, not as a bolted-on feature.

The rush to integrate Generative AI has exposed a critical skills gap in the tech industry. According to Gartner, at least 30% of GenAI projects were abandoned after the proof-of-concept phase by 2025 due to escalating costs, poor risk controls, and a lack of clear business value. While many developers can build a basic RAG demo or call an LLM API, the industry is actively seeking engineers who can deploy scalable, secure, and cost-effective AI systems in live production environments.

The IIT Kharagpur Executive Post Graduate Certificate in AI-Native Software Engineering is delivered with upGrad handling admissions and delivery, while the Department of Computer Science and Engineering at IIT Kharagpur owns the academic design and certification. It includes:

• 96 hours of live, faculty-led instruction

• An optional foundations bridge for Python or TypeScript gaps

• Five core modules plus a capstone project

• One integrated system built and deployed end to end

About IIT Kharagpur

Before getting into what this AI-Native Software Engineering Course covers, here's the institute behind it.

• Established in 1951, India's first IIT, and an Institute of National Importance under the IIT Kharagpur Act, 1956

• 2,100-acre campus in West Bengal

• Ranked 5th nationally in NIRF 2025 Engineering, and among Asia's top universities in QS Asia Rankings

• Marked its 75th year (Platinum Jubilee) in 2025-26

• Department of CSE led by Prof. Niloy Ganguly, with research across AI, machine learning, NLP, cryptography, HCI, and software engineering

This is one of the more recent additions among IIT Kharagpur Executive Courses, and the department's first dedicated program in AI-native engineering.

Why Choose the Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur?

India's technology sector is experiencing a significant shortage of AI talent. According to NASSCOM, India now requires more than 1.25 million AI professionals, while industry demand continues to outpace the available talent pool. As AI adoption accelerates across enterprises, organizations are looking beyond prompt engineering and hiring professionals who can build, deploy, and scale production-ready AI systems that deliver measurable business value.

The Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur is built precisely around the wall most engineers hit sooner or later: taking an AI feature from a fragile demo to a robust production system.

• Build Production-Ready AI Systems: Every layer connects to the one before it. Frontend calls backend, backend queries retrieval; agents act on all of it, hardened by the production module.

• Develop Practical AI Engineering Skills: Every module follows build manually, use AI to accelerate, then audit what AI produced for bugs and security gaps.

• Master End-to-End RAG Development: Build a RAG pipeline from raw SDKs, then with a framework, then evaluate both with RAGAS and CI gates.

• Solve Real-World Indian Business Use Cases: OCR for PAN, GST, and Aadhaar, multilingual retrieval through Bhashini, INR cost modeling, and WhatsApp Business API and UPI integrations.

• Engineer Secure and Compliant AI Applications: DPDP Act 2023 compliance, prompt injection defense, and adversarial red-teaming as engineering deliverables, not an afterthought.

Who Should Enroll in the Executive Post Graduate Certificate in AI-Native Software Engineering?

The IIT Kharagpur Executive Post Graduate Certificate in AI-Native Software Engineering is built for people already shipping software, not for a first step into tech.

• Software Engineers (2+ years): Full-stack, backend, or frontend engineers who ship production software but haven't built AI features into their own products.

• ML and AI Engineers (2+ years): Engineers who build models and want to turn experiments into deployed features with cost control and safety.

• Tech Leads and Architects: People who need to design the AI layer themselves instead of delegating it to a junior engineer.

This program is generally not for developers with under 2 years of experience, ML researchers focused on training pipelines, Java or C# or Go-only developers with no Python or JS, non-technical professionals, or anyone looking for a quick certificate without hands-on work.

Curriculum of Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur

The curriculum of Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur is structured as five architectural layers building toward one system, over 35 weeks.

Every learner writes working code in both Python and TypeScript regardless of prior strength, since no live hour goes toward basic language syntax.

IIT Kharagpur Executive Post Graduate Certificate in AI-Native Software Engineering Syllabus

The Executive Post Graduate Certificate in AI-Native Software Engineering from IIT KGPR features a hands-on curriculum that helps professionals build, deploy, and scale production-ready AI applications.

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

• Evaluate foundation models (Claude, GPT-4o, Gemini, Llama, DeepSeek) on cost, capability, and risk

• Build a Next.js App Router interface with Server/Client Components and streaming SSR

• Implement WCAG 2.1 AA accessibility with axe-core testing

• Build streaming AI interfaces with the Vercel AI SDK

• Deploy on Vercel with 80%+ test coverage and CI/CD via GitHub Actions

• Outcome: AI-native commerce dashboard with real-time listings and pricing

Module 2: Production-Grade LLM Infrastructure

• Design a FastAPI backend with Pydantic v2 validation and RFC 7807 error handling

• Integrate OpenAI and Anthropic SDKs with streaming and prompt versioning

• Build circuit breakers and multi-provider fallback chains

• Process Indian documents (PAN, GST, Aadhaar) via vision models and OCR

• Instrument per-request cost attribution and spend alerts

• Outcome: Production-grade AI backend routing requests across LLMs by cost and latency

Module 3: Retrieval, Context Engineering and Evaluation

• Build a RAG pipeline from scratch with SDKs, then rebuild with a framework

• Implement multi-tenant retrieval with pgvector row-level security

• Add multilingual retrieval through Bhashini for Hindi, Tamil, and Bengali

• Evaluate with RAGAS across faithfulness, relevancy, precision, and recall

• Set CI gates that block weak deployments

• Outcome: Enterprise knowledge system answering multi-hop queries on real data

Module 4: Agentic Engineering and Protocol Design

• Design the perceive-reason-act-observe loop with ReAct and plan-and-execute patterns

• Build stateful agents with LangGraph, including checkpointing

• Build an MCP server with least-privilege permissions and audit logging

• Design prompt-injection-aware tools

• Implement human approval gates and multi-agent coordination

• Integrate WhatsApp Business API, UPI, and GST validation

• Outcome: Autonomous AI operations agent with human-in-the-loop controls

Module 5: AI Systems Reliability, Security and Governance

• Set up Langfuse for alerting and cost anomaly detection

• Implement semantic caching with Redis

• Run OWASP LLM Top 10 checks and Promptfoo red-teaming

• Implement DPDP Act 2023 compliance as code

• Set up CI/CD evaluation gates and rollback-based incident response

• Outcome: Hardened, production-ready version of everything built in Modules 1-4

Capstone: Build One System, Ship to Production

• Define a business problem and translate it into engineering scope

• Architect the end-to-end system across all layers

• Build using AI-assisted engineering while verifying outputs

• Evaluate performance, accuracy, cost, and reliability

• Deploy with monitoring, observability, and governance in place

• Outcome: A live, deployed AI-native system with a GitHub portfolio and evaluation traces

Fee Structure of Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur

The Executive Post Graduate Certificate in AI-Native Software Engineering from IIT KGPR offers a transparent fee structure with flexible payment options, including EMI facilities, making it easier for working professionals to invest in their learning journey.

This is a single all-inclusive fee rather than per-module charges, with EMI available for learners who want to spread payments across the program.

Eligibility for Executive Post Graduate Certificate in AI-Native Software Engineering

Admissions to the IIT Kharagpur Executive Post Graduate Certificate in AI-Native Software Engineering weigh your academic background alongside real, hands-on development experience.

• Educational Qualification: B.Tech/M.Tech, B.E/M.E (CS, IT, AI, ECE preferred), B.Sc/M.Sc (CS, Maths, Statistics), MCA, or BCA, with minimum 50% marks. Other disciplines need 2+ years of tech experience.

• Professional Experience: Minimum 2 years of professional software development experience.

• Technical Proficiency: Working proficiency in Python or JavaScript/TypeScript.

• Admissions: Based on educational background, experience, and profile, with an optional foundations bridge for language gaps.

How to Apply for the Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur

Admission to the IIT Kharagpur Executive Post Graduate Certificate in AI-Native Software Engineering runs across three quick steps once you know you're eligible.

1. Complete your application: Submit your profile, education, and experience details.

2. Receive your offer letter and reserve your seat: Pay INR 10,000 to block your seat once shortlisted.

3. Complete your payment: Pay the remaining balance within 7 days of the offer letter, or by the batch start date, whichever comes first.