8 Months | Executive Post Graduate Certificate | AI-Native Software Engineering

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

The Executive Post Graduate Certificate in AI-Native Software Engineering is an 8-month executive programme offered by the Department of Computer Science & Engineering, IIT Kharagpur. The programme is designed for software engineers who want to build production-grade AI systems rather than isolated AI prototypes. Learners progress through five integrated architectural layers—Frontend, Backend, Retrieval, Agentic Engineering and Production Engineering—before building and deploying a complete AI-native application. The curriculum emphasizes AI-assisted software development, LLM infrastructure, Retrieval-Augmented Generation (RAG), Agentic AI, AI governance, production deployment, security, observability and enterprise-scale engineering using modern AI frameworks and cloud-native technologies.

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

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University Rankings & Accreditation

IIT Kharagpur — recognition that matters

IIT Kharagpur Department of Computer Science & Engineering

Established 1951 Institute of National Importance

NIRF #5 Engineering India

QS India #4 Engineering

35 Weeks Executive Programme

96 Live Hours Faculty-led Sessions

5 Integrated Layers AI-Native Engineering

Production-grade Capstone End-to-End AI System

Program Highlights

Everything that matters — at a glance

⏱
Programme Duration
8 Months (35 Weeks)
📋
Programme Type
Executive Post Graduate Certificate
💰
Department
Department of Computer Science & Engineering
💻
Learning Hours
96 Faculty-led Live Hours
🏦
Learning Format
100% Live Online
🤝
Architecture
5 Integrated AI Engineering Layers
🌍
Capstone
One Production-grade AI System
📜
Projects
7 Production Artefacts
🎓
Graduation
On-campus Graduation Ceremony
🏆
Certification
Executive Post Graduate Certificate from IIT Kharagpur

How You Learn Online

UGC-compliant 4-Quadrant learning model — structured for working professionals

Video & E-Tutorial

Animated video lectures, virtual labs, audio content and full transcriptions — available 24/7

E-Content & Resources

Digital study material, e-books, case studies, web references and reading material uploaded weekly

Live Discussion Forum

Weekly live sessions with course coordinators for doubt-clearing and peer interaction

Assessments

Weekly quizzes, assignments, MCQs and project evaluations — structured and timely feedback

Program Curriculum

Industry-aligned, application-based — built for career outcomes

Foundations Bridge (Optional)

30-Minute Skills Assessment
Python Essentials
TypeScript & React
FastAPI Fundamentals
Pydantic Validation
REST API Patterns
Docker Fundamentals
Docker Compose
SQL Joins
ORM Fundamentals
Git & GitHub
Integration Checkpoint

Module 1 - Building AI-Native Interfaces & Real-Time Systems (Weeks 1-7)

AI Engineering Fundamentals
Foundation Model Evaluation
Claude
GPT-4o
Gemini
Llama
DeepSeek
Token Economics
Next.js App Router
TypeScript
Server Components
Client Components
Streaming SSR
Tailwind CSS
shadcn/ui
PostgreSQL
Prisma ORM
Socket.io
Server-Sent Events (SSE)
Vercel AI SDK
OAuth
GitHub Actions
CI/CD
Jest
React Testing Library
WCAG 2.1 AA
Accessibility Testing
AI-powered Content Generation
Streaming AI Interfaces
AI-Native Commerce Dashboard Project

Module 2 - Production-Grade LLM Infrastructure (Weeks 8-12)

FastAPI
Pydantic v2
RFC 7807 Error Handling
OpenAI SDK
Anthropic SDK
Streaming APIs
Structured Outputs
Prompt Versioning
Circuit Breakers
Multi-provider Failover
Timeout Management
Vision Models
OCR Processing
PAN Processing
GST Processing
Aadhaar Processing
Multilingual Processing
Cost Attribution
Token Tracking
Async Processing
Celery
ARQ
LLM Infrastructure
Production AI Backend
AI Backend Infrastructure Project

Module 3 - Retrieval, Context Engineering & Evaluation (Weeks 13-18)

Retrieval-Augmented Generation (RAG)
No-Framework RAG
LangChain
RAG Abstraction Layer
pgvector
Multi-tenant Retrieval
Hybrid Search
Graph-aware Retrieval
Multi-hop Reasoning
Document Chunking
Embeddings
Bhashini
Multilingual Retrieval
Hindi AI Retrieval
Tamil AI Retrieval
Bengali AI Retrieval
RAGAS
LLM-as-a-Judge
Evaluation Pipelines
CI Evaluation Gates
Enterprise Knowledge System Project

Module 4 - Agentic AI Systems & Multi-Agent Engineering (Weeks 19-25)

Agentic AI Fundamentals
AI Agent Architecture
Planning & Reasoning
Memory Systems
Short-term Memory
Long-term Memory
Tool Calling
Function Calling
LangGraph
CrewAI
AutoGen
Multi-Agent Systems
Supervisor Agents
Worker Agents
Reflection Patterns
Self-Correction
Human-in-the-Loop
Workflow Orchestration
State Management
Agent Evaluation
Observability
Tracing
AI Agent Security
Enterprise Agentic AI
Customer Support Agent Project

Module 5 - Production Engineering, Security & Deployment (Weeks 26-35)

Production AI Architecture
Docker
Docker Compose
Kubernetes
Helm
NGINX
CI/CD Pipelines
GitHub Actions
Terraform
AWS Deployment
Google Cloud Platform
Azure Deployment
Redis
RabbitMQ
Prometheus
Grafana
OpenTelemetry
Logging & Monitoring
Rate Limiting
Authentication
Authorization
Secrets Management
OWASP Security
AI Governance
Model Monitoring
Cost Optimization
Production Observability
Disaster Recovery
Scalable AI Infrastructure
Production-grade AI Application Deployment

Capstone Project

End-to-End AI-Native Application
Frontend Development
Backend APIs
RAG Pipeline
Agentic AI Workflow
Authentication
Production Deployment
Monitoring
Performance Optimization
Security Hardening
Cloud Deployment
Documentation
Demo Presentation
Portfolio Project

4 Specializations

Click any specialization to see fees and key modules

AI-Native Software Engineering IIT Kharagpur Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Next.js
FastAPI
TypeScript
AI Engineering

LLM Engineering & RAG IIT Kharagpur Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Large Language Models
RAG
Vector Databases
Evaluation Frameworks

Agentic AI IIT Kharagpur Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

LangGraph
CrewAI
Multi-Agent Systems
Tool Calling

Production AI & Cloud Engineering IIT Kharagpur Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Docker
Kubernetes
Cloud Deployment
Observability

Fee Structure

Transparent pricing — paid semester-wise with Zero Cost EMI available

Specialization	Per Semester	Total Fee	EMI / Month (6 mo)
Executive Post Graduate Certificate in AI-Native Software Engineering	NA	₹1,77,000	Starting at ₹6,031/month

The total programme fee is ₹1,77,000. Flexible financing options are available with EMIs starting from ₹6,031 per month for eligible learners.

Scholarships Available

Reviewed and approved on a case-by-case basis

Category	Who's Eligible	Scholarship
No Cost EMI	Eligible learners	Available
Education Loan	Available through financing partners	Available
Corporate Sponsorship	Working Professionals	Case Basis

Eligibility Criteria

Simple and transparent — no entrance exam required

🇮🇳 Students with Indian Education

Passed 10 + 2 from a recognised board
Completed undergraduate degree (minimum 3 years)
Aggregate minimum of 50% marks
Final year students can apply with last semester results
Work experience gives added advantage

🌍 Students with Foreign Education

Certificate of Equivalence from AIU (Association of Indian Universities) required
Visit aiu.ac.in for details

Career Opportunities

Roles our graduates step into after completing this program

AI Software Engineer

Build production-grade AI-native applications using LLMs, RAG, Agentic AI and cloud-native architectures.

LLM Engineer

Develop enterprise applications powered by Large Language Models, prompt engineering and advanced inference pipelines.

Generative AI Engineer

Design intelligent AI products using GPT, Claude, Gemini, multimodal models and enterprise AI workflows.

Agentic AI Engineer

Develop autonomous AI agents, multi-agent systems and enterprise automation workflows using modern AI frameworks.

AI Backend Engineer

Build scalable AI APIs, inference services, streaming architectures and production AI infrastructure.

AI Platform Engineer

Design AI infrastructure, deployment pipelines, observability systems and cloud-native AI platforms.

Full Stack AI Engineer

Create complete AI-native applications integrating modern frontends, backend services and intelligent AI capabilities.

MLOps Engineer

Deploy, monitor and maintain production AI systems using Docker, Kubernetes, CI/CD and cloud platforms.

AI Solutions Architect

Architect enterprise AI solutions using LLMs, RAG pipelines, vector databases and distributed cloud systems.

AI Product Engineer

Develop scalable AI products with production engineering, security, governance and real-world deployment practices.

Our Hiring Partners

Top companies that recruit our graduates

Microsoft Google Amazon IBM Accenture Infosys TCS Cognizant Capgemini HCLTech Oracle SAP Adobe NVIDIA Atlassian Zoho Flipkart PhonePe upGrad Hiring Network IIT Kharagpur Alumni Network

Student Testimonials

Real students. Real outcomes.

The programme transformed my software engineering skills by teaching me how to build production-ready AI-native applications instead of simple AI prototypes.

Programme Learner

AI-Native Software Engineering

The combination of LLM Engineering, RAG, Agentic AI and cloud deployment helped me confidently develop enterprise-grade AI applications.

Software Engineer

Executive Programme Participant

The end-to-end capstone project gave me practical experience with modern AI software engineering workflows and production deployment.

Programme Graduate

AI Engineer

This programme effectively combines modern software engineering principles with Generative AI and Agentic AI to prepare engineers for next-generation AI development.

Industry Mentor

IIT Kharagpur Programme

Frequently Asked Questions

Everything you need to know before you apply — answered clearly

What is the Executive Post Graduate Certificate in AI-Native Software Engineering? Program

The Executive Post Graduate Certificate in AI-Native Software Engineering is an 8-month programme offered by the Department of Computer Science & Engineering, IIT Kharagpur. It is designed to help software engineers build production-ready AI-native applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, cloud-native technologies and modern software engineering practices.

Who is eligible for this programme? Eligibility

The programme is intended for software engineers, backend developers, full-stack developers, AI engineers, technical architects and working professionals who want to build enterprise-grade AI applications.

What is the duration of the programme? Program

The programme runs for approximately 8 months (35 weeks) and includes live faculty-led sessions, hands-on engineering labs, production projects and a final capstone.

How is the programme delivered? Learning

The programme follows a live online learning model consisting of faculty-led lectures, coding sessions, practical assignments, mentor guidance, production engineering exercises and a capstone project.

What topics are covered in the curriculum? Curriculum

The curriculum covers AI-Native Software Engineering, TypeScript, Next.js, FastAPI, PostgreSQL, Prisma ORM, LLM Engineering, Prompt Engineering, RAG, Agentic AI, Docker, Kubernetes, cloud deployment, observability, AI security and production engineering.

Does the programme include Generative AI? Curriculum

Yes. Participants work with GPT, Claude, Gemini, Llama and other Large Language Models while learning prompt engineering, structured outputs, multimodal AI and enterprise AI application development.

Will I learn Retrieval-Augmented Generation (RAG)? Curriculum

Yes. The programme covers document chunking, embeddings, vector databases, hybrid retrieval, graph-aware retrieval, multilingual RAG systems, RAG evaluation and enterprise knowledge retrieval systems.

Does the programme include Agentic AI? Curriculum

Yes. Learners study Agentic AI architecture, AI agents, memory systems, planning, reasoning, tool calling, workflow orchestration, LangGraph, CrewAI, AutoGen and multi-agent collaboration.

Which programming languages and frameworks are covered? Curriculum

The programme includes Python, TypeScript, Next.js, React, FastAPI, PostgreSQL, Prisma ORM, Docker, Kubernetes, GitHub Actions, Redis, RabbitMQ and cloud-native development frameworks.

Does the programme include cloud deployment? Curriculum

Yes. Learners deploy AI-native applications using Docker, Kubernetes, AWS, Google Cloud Platform, Azure, Terraform, GitHub Actions and modern DevOps practices.

What projects are included? Projects

Participants complete multiple production engineering projects including AI-native user interfaces, AI backend infrastructure, enterprise knowledge retrieval systems, Agentic AI workflows and a complete production-ready AI application as the capstone project.

Will I receive a certificate after completing the programme? Certification

Yes. Participants who successfully complete the programme receive the Executive Post Graduate Certificate in AI-Native Software Engineering from IIT Kharagpur.

Does the programme include career support? Career

Yes. The programme supports learners through portfolio development, production-grade projects, networking opportunities and career-oriented engineering skills aligned with modern AI software development roles.

Which job roles can I pursue after completing this programme? Career

Graduates can pursue roles such as AI Software Engineer, Generative AI Engineer, LLM Engineer, Agentic AI Engineer, AI Backend Engineer, AI Platform Engineer, Full Stack AI Engineer, MLOps Engineer, AI Solutions Architect and AI Product Engineer.

How much is the programme fee? Fees

The total programme fee is ₹1,77,000. Flexible financing options are available with EMIs starting from ₹6,031 per month for eligible learners.

Is prior AI experience required? Eligibility

A background in software engineering and programming is recommended. The programme is designed for professionals who want to transition into AI-native software development using modern engineering practices.

Does the programme cover production AI engineering? Curriculum

Yes. Learners gain experience in production deployment, observability, AI security, monitoring, authentication, CI/CD pipelines, infrastructure management and enterprise-scale AI software engineering.

Why should I choose the IIT Kharagpur Executive Post Graduate Certificate in AI-Native Software Engineering? Program

The programme combines modern software engineering with Generative AI, LLM Engineering, Retrieval-Augmented Generation (RAG), Agentic AI, cloud-native architecture, production deployment and enterprise engineering. With live faculty sessions, production-grade projects and an IIT Kharagpur certification, it prepares professionals to build scalable AI-native software systems for real-world enterprise applications.

Build Production-Ready AI-Native Software Systems

Master AI-Native Software Engineering, LLM Engineering, Retrieval-Augmented Generation (RAG), Agentic AI, Next.js, FastAPI, TypeScript, Kubernetes, Docker, Cloud Deployment and Enterprise AI Architecture through IIT Kharagpur’s industry-focused executive programme.

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