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DBA
Education
CXO
MBA
Data Science and Analytics
Machine Learning and AI
Management
Accounting and Finance
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Earn recognised credentials and academic recognition.
Top 10 percentile performers in each cohort receive a Certificate with Distinction, recognised on the credential itself.
Executive Post Graduate Certificate in AI-Native Software Engineering
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TypePG Certificate
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Start DateSeptember 30, 2026
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Duration8 Months
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- #215 globally in the QS World University Rankings 2026
- #5 Engineering in India (NIRF)
From Full Stack to AI-Native Systems, led by IIT Kharagpur’s Computer Science & Engineering Department
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100% Live, Faculty-Led Sessions
Delivered through 100 percent live instruction. 96 hours of live weekend classes by IIT Kgp faculty.
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.
Curriculum : The AI-Native Engineering Journey
Frontend → Backend → AI Systems → Agents → Production
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.
The Curriculum for Engineers Who Own the AI Layer. Design Systems, Build with AI, Ship to Production
Build One AI System. End-to-End
Not demos. One real production system. Frontend → Backend → RAG → Agents → Deployment
Vibe Coding with Engineering Judgment
Don’t just use AI, learn when to trust it. Build manually → rebuild with AI → audit outputs for bugs, security gaps, and architecture trade-offs.
MCP Protocol & Agentic Engineering
Go beyond chatbots to real AI systems. Build MCP servers, multi-agent workflows, and integrate with real-world services (WhatsApp, APIs, etc.).
Build for scale
Build for real-world use-cases, learning from large scale implementable tools.
AI Security & DPDP Compliance (As Code)
Ship AI systems that are safe and compliant. Prompt injection defense, adversarial testing, and full DPDP implementation (consent, erasure, audit trails).
Evaluation as Engineering Practice
Measure AI quality like you measure code. RAGAS metrics, LLM-as-judge, CI-integrated evaluation gates, and regression testing for AI systems.
Programme Faculty
Whom will you learn from?
6
Instructors
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
Artificial Intelligence and Machine Learning, Complex and Social Networks, Data and Web Mining, Natural Language Processing
Prof. Soumya K. Ghosh
Professor, Dept. Of CSE
Research Areas
Spatial Informatics, Spatial Webservices, Cloud Computing, Spatio-Temporal Data Analysis
Spatial Informatics, Spatial Webservices, Cloud Computing, Spatio-Temporal Data Analysis
Prof. Sandip Chakraborty
Associate Professor, Dept. Of CSE
Research Areas
Computer Networks, Human Computer Interaction, Pervasive and Ubiquitous Computing, Computer Systems
Computer Networks, Human Computer Interaction, Pervasive and Ubiquitous Computing, Computer Systems
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
Network science, Multilayer networks, Social networks, Data science, Anomaly detection, Mobile affective computing, Socio-mobile applications, Social-IoT
Prof. Jibesh Patra
Asst. Professor, Dept. Of CSE
Research Areas
Software Engineering, Artificial Intelligence, System Security
Software Engineering, Artificial Intelligence, System Security
Prof. Mainack Mondal
Asst. Professor, Dept. Of CSE
Research Areas
Hardware Security & Verification, Human-Centered AI & Community Feedback, AI Safety & Misinformation, Privacy & Data Governance
Hardware Security & Verification, Human-Centered AI & Community Feedback, AI Safety & Misinformation, Privacy & Data Governance
The Complete Curriculum - A Structured Path to AI-Native Software Engineering Program
Topics Covered
- Language readiness: Python or TypeScript/React, based on your background. Assessment-driven.
- Shared foundations: Docker, REST APIs, and SQL. Assigned to gaps only
- Integration checkpoint: Build a working full-stack mini-system in 2 hours. Mandatory for all.
Topic Covered
- Evaluate foundation models (Claude, GPT-4o, Gemini, Llama, DeepSeek) using cost, capability, and risk.
- Build Next.js App Router with Server/Client Components, streaming SSR, TypeScript strict mode.
- Implement WCAG 2.1 AA accessibility with axe-core testing.
- Build real-time LLM streaming with Vercel AI SDK, loading states, confidence indicators.
- Deploy on Vercel with 80%+ test coverage and CI/CD via GitHub Actions
Topic Covered
- Design FastAPI backend with Pydantic v2 typed validation and RFC 7807 error handling
- Integrate OpenAI and Anthropic SDKs with streaming, structured outputs, prompt versioning
- Build resilient AI services: circuit breakers, fallback chains, timeout management
- Process Indian documents: PAN, GST invoices, Aadhaar via vision models + OCR
- Instrument per-request cost attribution, user-level spend alerts, async processing
Topic Covered
- Build a complete RAG pipeline from scratch with only SDKs and HTTP calls
- Design an abstraction layer resilient to LangChain/LlamaIndex version churn
- Implement multi-tenant retrieval with pgvector, row-level security
- Add multilingual retrieval via Bhashini, with fallback to open-source embedding models where API coverage is incomplete
- Evaluate with RAGAS (faithfulness, relevancy, precision, recall) + CI regression gates
Topic Covered
- Design the perceive-reason-act-observe loop; React and plan-and-execute patterns
- Build stateful agents with LangGraph: state machines, tool contracts, checkpointing
- Build an MCP server with authentication, least-privilege permissions, audit logging
- Design prompt-injection-aware tools; survey emerging A2A and browser-use patterns
- Implement human approval gates (>₹1K), escalation workflows, multi-agent coordination
- Integrate WhatsApp Business API, UPI, GST validation, DigiLocker
Topic Covered
- Langfuse: alerting, SLA dashboards, cost anomaly detection
- Semantic caching with Redis (40-60% savings)
- Intelligent model routing + budget enforcement
- CI/CD evaluation gates blocking regressions
- Semantic prompt versioning + model-version tracking
- Zero-downtime deployment of complete system
- OWASP LLM Top 10 + Promptfoo red-teaming (30+ tests)
- DPDP Act 2023 as code: consent, erasure, minimisation
- Incident response: rollback, post-mortem methodology
Topic Covered
- Define & Architect: Translate a business problem into full-stack engineering scope: frontend, backend, AI layer, RAG pipelines, and deployment architecture.
- Build & Evaluate: Develop using AI-assisted engineering, integrating LLMs and full-stack components, then test for performance, accuracy, cost, and reliability.
- Deploy & Own: Ship with APIs, monitoring, and governance in place, and graduate with a live AI-native system that demonstrates real engineering ownership.
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.
Capstone
Build in Your Domain. Deploy to the Real World
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Choose a real-world problem from your domain - fintech, e-commerce, healthcare, or enterprise SaaS, and build a complete AI-native system from architecture to deployment.
Design, build, and deploy an end-to-end application integrating frontend, backend, AI systems, and agents - demonstrating true production-grade engineering capability.
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DEFINE : Problem → Scope -
ARCHITECT : End-to-end system design
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BUILD : AI-assisted full-stack dev
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DEPLOY : Ship. Monitor. Govern
Probable Tools & Frameworks
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Capstone
Build in Your Domain. Deploy to the Real World
Choose a real-world challenge across Healthcare, BFSI, Manufacturing, or related domains.
Build a complete, production-ready AI system. From architecture to deployment and monitoring, you’ll engineer and launch an end-to-end solution that showcases true enterprise-grade AI capability.
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Domain Focused - Industry Problem Driven
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Production – Deployment Ready
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Full-Stack - ML + GenAI + Agentic AI + RAG
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Measured - Evaluated & Benchmark Driven
Beyond a Certificate — Built for Career Impact
On-Campus Graduation Ceremony at IIT Kharagpur
The programme concludes with an on-campus award ceremony at IIT Kharagpur, where participants receive their certificates from the Programme Director and Institute leadership.
Our Admission Process
Complete your application and enrol in the program with four easy steps!
Complete the Application
Fill your details and complete your application
01
Receive the Offer Letter
Get shortlisted and Provisional Offer Letter.
02
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Reserve your Seat
Block your seat and submit the required documents.
03
Pay the Block Amount
Post verification, complete the balance payment to confirm enrolment.
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Learner Support
Monday - Saturday | 24 Hours
Phone Number
Mail us
*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.
By proceeding, you agree to receive communication from and on behalf of Golden Gate University and upGrad (or its affiliates) about this program and other relevant programs.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.
By proceeding, you agree to receive communication from and on behalf of Golden Gate University and upGrad (or its affiliates) about this program and other relevant programs.
