What if engineering college started with building a car, not studying mechanics?

AI is changing not just how engineers work, but what they need to learn. By combining product-first education with AI-powered virtual twins, engineering schools can move from teaching isolated skills to create industry-ready innovators.

In Short

• Only 40–45% of India’s engineering graduates are deemed employable today
• AI now automates manual tasks once central to engineering classrooms
• Project PRACTICE targets 20 lakh students across 1,000 institutions nationwide

For decades, we have taught engineering backward. We ask students to spend years memorising isolated theories. We push them into labs to run predictable experiments. Only at the very end do we ask them to build a project, hoping they can stitch those fragmented pieces together.

This model does not work any more. We are living in an industry renaissance focused on sustainable, multidisciplinary innovation. The traditional approach creates a deep gap between graduation day and the reality of modern enterprise, one that data makes stark: India produces 1.5 million engineering graduates annually, yet according to AICTE and NASSCOM, only 40–45% are considered employable in their field of study.

Artificial intelligence has accelerated this gap. Historically, engineering schools focused heavily on manual execution skills: CAD modelling, NC code, machine configuration. Today, AI automates these tasks instantly. The IMF estimates that roughly 40% of jobs globally face meaningful AI exposure (IMF, 2024), and Goldman Sachs projects that generative AI could automate tasks equivalent to 300 million full-time jobs worldwide.

If the skills we teach for four years can be done by an algorithm in seconds, the traditional curriculum collapses. AI changes everything. Future engineers will not win by being the most skilled. They will win by having the boldest product vision and knowing how to orchestrate AI to make it real.

THE INVERSE PEDAGOGY: PRODUCT-FIRST LEARNING

We need to turn the educational pyramid completely upside down.

In India, the All India Council for Technical Education (AICTE) is already pushing institutions toward experiential learning. Its flagship ‘Project PRACTICE’ backed by Rs 23.31 crore and targeting 20 lakh students across 1,000 institutions (AICTE, 2025) directs students toward live industry problems. Globally, MIT’s CDIO initiative, now adopted by over 200 institutions across 30+ countries (CDIO.org, 2025), offers a proven hands-on blueprint though its reach inside India remains limited.

However, these frameworks remain ‘pre-AI’ if they still put individual skills before the final vision. If a student must master manual drafting and material mechanics before they are allowed to think about a product, the learning cycle is simply too slow.

We must invert the curriculum. Engineering education must start with the end product in mind. Students should not join a generic mechanical engineering stream and wonder where they fit. They should enrol in a curriculum built entirely around a complex, cohesive product. We need a ‘Car School,’ a ‘Satellite School,’ or a ‘Robotics School, specialised in these products. These schools need to teach the business and engineering aspects of the selected product (e.g., car, satellite, etc.).

For example, students of “car school” need to learn how to create a car, from concept to launch, including every aspect of engineering, manufacturing, and the business of car-making, from concept to regulatory approval to launch. The sole purpose of entering an engineering college should be to learn how to build a fully realised product. The curriculum must begin with the product on day one.

To construct it, the school teaches the required cross-disciplinary skills: structures, electronics, and software fluidly on a need-to-know basis using AI. Students learn the theory precisely when they need it to advance their design. AI serves as an ambient ally, handling the rote execution. Such a school will create industry-ready engineers and a startup ecosystem around them.

The Government of India and various state governments are creating industrial clusters across the country. It is extremely important to have product-centric schools/engineering colleges to elevate such a cluster with the right manpower.

THE VIRTUAL TWIN AS THE CORE ENABLER

To teach this way without massive physical costs or safety risks, we need advanced technology. This goes far beyond a standard digital twin, which is often just a static digital mirror tracking past performance.

Instead, academia must adopt virtual twin experiences. A virtual twin is a scientifically accurate, interactive replica of a product or an entire system. Built on collaborative, cloud-based environments, virtual twins allow students to model complete physical behaviour. It integrates physics, fluid dynamics, and stress testing into a single digital thread.

This is the heart of an end product strategy. By focusing AI-powered virtual twins on complex systems like aircraft or smart factories, we bring industrial reality into the classroom. Experiential tech allows students to experiment, innovate, and fail safely in a virtual universe. They can simulate and analyse the environmental impact of their choices before any physical material is cut. Students learn to speak the exact digital language of the global industry from their first semester.

REAL WORLD PROOF: THE SATELLITE TWIN

This philosophy is no longer a distant dream. It is happening right now. Through global philanthropic foundations, initiatives are underway to create a comprehensive virtual twin of an orbital satellite to upend space engineering education.

Rather than spending years studying orbital mechanics and radio frequencies in isolation, students will build a functioning satellite replica from day one.

Powered by unified cloud platforms, the virtual twin guides students through every subsystem simultaneously. They learn structural design, power systems, and communication arrays by embedding them directly into the active virtual model. The timeline will shock traditional academia. The programme enables a student to master space engineering and create a fully verified satellite model in less than six months.

This same passion for rapid, real-world creation drives top-tier global student innovation competitions. By challenging engineering students to move past basic 3D modelling and leverage cloud-based simulation, structural optimisation, and digital product storytelling, these platforms transform passive learners into market-ready product creators.

EMPOWERING THE GENERATIVE INNOVATOR

As AI becomes more pervasive, the focus shifts from the skills people have to the products they build. While manufacturing-led growth is a necessity now, product-led growth is what we see in the 2030s. The future belongs to design-led product innovations, not to cost-effective manufacturing.

Our engineering education needs to adapt to this transformation. Students need to develop a “product” mindset while in the classroom.

- Ends