Built by enterprise architects who designed production-grade systems for global investment banks. Fourteen technology domains — from full-stack to quantum computing — taught to enterprise engineering standards, backed by 50+ active MNC mentors and AI fluency for every Ireu graduate.
From how a real-estate company underwrites a building, to how an investment bank executes a trade, to how a hospital manages patient data — technology runs underneath all of it. AI is now the same: not a niche field, but the new default.
This is a school built by builders — bringing the professional standard of enterprise engineering environments into an academic setting for the first time in Indian education. We do not teach students to code. We teach them to engineer.
A senior Java architect who has designed and built enterprise systems for global investment banks — among the most demanding, high-throughput, mission-critical environments that exist. An architect who has built at that level brings a quality bar to Ireu no academic faculty can replicate.
Brings strong technology foundations and complementary technical depth to the school's curriculum design, mentoring architecture, and the technology-industry partnership network — ensuring Ireu covers not just enterprise Java, but the full spectrum of modern technology careers.
The Java, Spring Boot and microservices curriculum is designed by someone who built systems processing billions of transactions. Students build to professional standards from their first semester — not after years of industry experience.
Distributed systems, real-time processing, event-driven architecture, API design and database optimisation are taught with the same rigour applied to financial trading platforms.
Every student is paired with a domain-matched MNC mentor — not advisory contacts, but active practitioners from India's best multinationals who commit to long-form mentoring through the program and into careers.
Through the Simplilearn partnership, every Ireu student receives embedded AI fluency training — contextualised to each student's specialisation. Technology is not optional for any Ireu graduate.
For deep-tech domains — VLSI, Quantum Computing, AI research — partnerships with IISc Bangalore and IIT Madras Pravartak provide research mentors and advanced content no standalone institution in India can match.
Engineers, architects, data scientists, AI researchers, chip designers, cybersecurity experts, cloud practitioners and product leaders who mentor Ireu students through their programs and into their careers. Not name-listed advisors — active professionals committed to long-form, domain-matched relationships that continue after graduation.
Java architects and senior engineers from global banking, enterprise software and product companies — Spring Boot, microservices, JVM internals and high-performance systems.
Applied AI engineers and ML researchers from top MNCs and AI-first companies — model development, MLOps, deep learning, NLP, computer vision and production AI.
VLSI engineers, semiconductor designers and chip architects from India's most active semiconductor companies and MNC design centres — one of the rarest mentor sets in Indian tech education.
Cloud architects and SREs certified across AWS, GCP and Azure — infrastructure as code, CI/CD, Kubernetes, observability and site reliability engineering.
Security engineers, penetration testers and SOC professionals from MNCs — offensive security, defensive systems and security architecture.
Data engineers, analytics leads and BI architects — data pipelines, warehousing, real-time analytics and the full modern data stack.
Full-stack engineers and product engineering leads — React, Node.js, system design, API architecture and production-grade application development.
Embedded systems engineers and IoT architects from manufacturing MNCs, automotive technology companies and industrial technology firms.
Students choose a primary domain track on day one. Every curriculum is designed drawing on the founders' enterprise engineering experience and continuously updated by 50+ MNC mentors and 200+ industry partners.
The most in-demand engineering skill set in India — built to produce engineers who own a product end-to-end with production-grade code from semester one.
Designed by a senior Java architect who built systems for global investment banks. Not a Java tutorial — an enterprise engineering curriculum to the world's most demanding standards.
Applied AI — not theoretical. Students build, train, evaluate and deploy models in real production environments, from classical ML through deep learning to agentic systems.
The fastest-moving frontier in technology — the full stack of building with large language models, from prompt engineering and RAG to fine-tuning and autonomous agents. Updated every semester.
The foundation on which all AI and analytics rest, and one of the highest-demand engineering skills in India — the full modern data stack from ingestion to real-time streaming.
Modern software lives in the cloud and deploys through automated pipelines — all three major platforms, infrastructure as code, container orchestration and site reliability engineering.
India's cybersecurity talent gap is one of the most urgent in tech — both offensive and defensive security, from ethical hacking and pen-testing to SOC operations and security architecture.
India is becoming a global semiconductor design hub. From digital logic through RTL design, verification and FPGA prototyping to chip architecture — one of the few such curricula in Indian education.
Embedded systems power everything from smartphones to industrial machinery — the full embedded software and hardware stack, from microcontrollers and RTOS to edge AI and industrial automation.
India's manufacturing and automation sectors are transforming rapidly — the full robotics stack: motion planning, computer vision for robotics, ROS/ROS2, industrial automation and drone technology.
Blockchain has moved from hype to infrastructure — underpinning financial settlement, supply chain and tokenised assets. Both technical implementation and business architecture of distributed ledgers.
The bridge between engineering and product — informed directly by enterprise systems where architectural decisions have billion-dollar consequences. Designing for scale, resilience and real complexity.
Transitioning from research to early commercial applications — one of the very few quantum curricula in Indian education, taught by IISc and IIT-affiliated research mentors.
Every student in every Ireu school — not just Technology — receives embedded AI fluency powered by Simplilearn, so a finance, real-estate or founder graduate leaves with applied AI as a baseline.
Computer-science fundamentals, mathematics, programming entry points, operating systems, databases, and the Simplilearn AI-fluency baseline taught to every technology student.
Deep, domain-specific learning built to the professional standard of enterprise Java systems, production AI deployments, semiconductor design flows, and security operations centres.
Ten levels — from a 30-hour certification to a four-year B.Tech-equivalent degree — each informed by the founders' enterprise engineering experience and backed by the 50+ MNC mentor network.
AI & ML, Full Stack, VLSI, Embedded & IoT, Cybersecurity, Cloud & DevOps — the deepest undergraduate tech credential, for engineers who will operate at senior levels from day one.
Full Stack, AI/ML, Cloud & DevOps, Cybersecurity, Data Engineering — software, data and cloud roles with enterprise-grade curriculum replacing generic CS theory.
Tech Product Mgmt, Enterprise Systems, Digital Transformation, FinTech Tech — for those who will lead and manage technology, not just build it.
All 14 technology domains — a four-year research-informed UG with IISc and IIT mentor access in year four. The deepest undergraduate tech credential at Ireu.
Full Stack, App Development, Cloud Basics, Embedded — a practice-first engineering credential for strong hands-on learners targeting immediate market readiness.
AI/ML, Full Stack, Cloud & DevOps, Cybersecurity, System Design — for engineering graduates deepening expertise to production-scale skills.
AI Product Strategy, Digital Transformation, Enterprise Architecture, Tech Leadership — the CTO track, product management and technology strategy.
All 14 technology domains — a one-year intensive upgrade, particularly in AI/ML, cloud, cybersecurity or enterprise architecture.
Software Engineering, Embedded Systems, Data Engineering, IoT — research-informed, project-heavy PG with MNC mentor access throughout.
All 14 technology domains — for working professionals upskilling, career-switchers entering tech, or practitioners earning domain credentials.
Curriculum co-creation, guest faculty, structured internships and graduate placement — all backed by the founders' enterprise engineering network and Ireu's active MNC mentor relationships.
A graduate here enters their field already operating at professional standards — trained by founders who built enterprise systems for global investment banks and mentored by 50+ active MNC practitioners. The industry does not have to train them. They arrive ready.
Senior backend roles at global banks, enterprise software companies and large-scale product companies — trained to the standard of investment banking technology systems.
Applied AI and ML roles at AI-first companies, product teams and research labs — building, deploying and monitoring models in production at scale.
The most in-demand technology role of 2026 — building production AI applications, RAG systems, AI agents and LLM-powered products across every sector.
RTL design, verification, physical design and SoC architecture at semiconductor companies and MNC design centres — Nvidia, Qualcomm, Intel, Samsung and India's growing chip ecosystem.
Cloud infrastructure, DevOps and SRE roles at MNCs and cloud-native companies — certified across AWS, GCP and Azure.
Security engineering, penetration testing, SOC analyst and security architecture roles at banks, critical infrastructure operators and MNC security teams.
Firmware engineers and IoT architects at automotive companies, industrial technology firms, consumer electronics companies and medical device manufacturers.
Architecture and tech-lead roles at enterprises — the career path informed by Thejasvi's own journey from engineer to Java architect at global financial institutions.
Founders and technical co-founders of AI-first companies, SaaS products and deep-tech ventures — through joint pathways with the Ireu School for Startups and the ₹250 crore AIF fund.
Choose your domain track from 14 technology specialisations. Choose your program level from ten options. Apply at ireu.education. Every student is matched with a domain-relevant MNC mentor from admission day — with access to a curriculum built by enterprise architects who built production systems for global investment banks.
