On a miniature roadway made of cardboard and tape, a small grid of LED lights flickers from red to green. It looks like a toy, but for Yash Javhare—who is in his Second Year of Diploma in AI & Machine Learning at RIT Polytechnic College, Lohegaon, Maharashtra—it is a solution to a deadly real-world problem.

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As a model car approaches the intersection, an infrared sensor “sees” the vehicle and sends a pulse of data to a small microcontroller. Instantly, the system’s logic kicks in—calculating traffic density and changing the lights to clear the lane before a jam can even form.

“Using sensors and automation to make roads smarter and safer,” Mr. Javhare explains, watching his code command the tiny intersection. “It is about turning an idea into reality.”

From abstract to applied

This miniature traffic grid is a ground-level view of a massive national experiment. Under the 2026 IndiaAI Mission, the Union government is introducing specialized AI modules across 174 regional polytechnic colleges. The goal is to move beyond the abstract math of university lecture halls and put “Applied AI” into the hands of diploma students.

For students like him, Artificial Intelligence is not just a computer program; it is something they can touch and build. “My experience so far has been very practical because our course focuses more on basic AI concepts, Arduino, sensors, automation, and project-based learning,” Mr. Javhare says.

Most people think AI lives in the “cloud” or on giant servers. However, these students are working on “Embedded AI,” where the intelligence lives inside the machine itself. “Our labs are mainly used for hardware experiments, Arduino programming, and basic coding practice. Through these activities, we learn how AI and automation can be applied in real-life situations,” he adds.

His portfolio already includes a Soil Moisture Plant System, a voice-command assistant named J.A.RV.I.S, and an Accident Preventing Model. These systems do not need the internet to make a decision; they process data locally, making them faster and safer for local industries like farming and manufacturing.

Design vs. implementation

Drawing a difference between the AI taught in Engineering courses and at the diploma level, Dr. P. Preetha, the Principal of Sree Rama Govt. Polytechnic College, Thriprayar, Kerala says: “At the university level, students focus on ‘Design.’ At the diploma level, students focus on the ‘Implementation.’ They write codes and specifically focus on troubleshooting.”

For a 68-year-old institution like Sree Rama Govt. Polytechnic, this means reinventing itself. The college currently offers an AI module in its Computer Science diploma and plans to introduce it to core branches like Mechanical and Electronics soon.

“AI is no longer limited to Computer Science; it has become an essential tool across all diploma core branches. By learning AI concepts and applications, diploma students can become industry-ready professionals capable of contributing to smart technologies and modern engineering solutions,” says Prof. Preetha.

A prominent alumnus, Dr. Varun Menon, recently secured a patent for an AI-based landslide prediction system, and the institution is encouraging its students to innovate with AI in the field of disaster management. 

According to their official website, it is noted that the students in Electronics and Communication are already having a module on Internet of Things (IoT).  IoT is the network of physical sensors and devices (like the soil moisture sensors or the automatic doors in the student projects). It is responsible for collecting data from the physical world. AI is the software that thinks about that data. It looks at the sensor readings and decides, “The soil is dry; I must turn on the water.” 

Power cuts and language barriers

In rural areas like Hole Alur, the “IndiaAI Mission” faces a tough infrastructure test. At the Government Polytechnic College in Hole-Alur, Karnataka, the first batch of 20 AI/ML students must navigate a landscape of frequent power cuts.

“The campus faces frequent power cuts and we have a backup of 5 KVA UPS to provide quality time for students,” says Prof. Vinodkumar M. Sonar, Principal of the College. Despite these hurdles, his students are building mini-projects and also aiming to build models that solve local agriculture problems in the future.

The new C-20 syllabus for Karnataka polytechnics is ambitious, moving away from traditional exams to focus on a 12-week intensive “Bootcamp” and a 16-week internship. Yet, human resource challenges remain. “There has been no recruitment of faculty members since 2023 in our institution. We have not provided any upskilling courses to our available faculties. The basic qualification, according to the Government norm, is Computer Science and Engineering degree for this position. The latest recruitments were merit-based and as per the norm of the Government,” Prof. Sonar admits.

Language also remains a barrier. “There are few textbooks available in Kannada. They can write exams either in Kannada or English,” Prof. Sonar says. He notes that while students from rural areas may find the mathematical concepts of Matrix and Differential Equations tough initially, “we make them improve their performances at the end of semester.”

Entry-level skepticism

The transition to the job market reveals a gap between academic goals and industrial hiring. Prof. Sonar lists new roles like “Engineering Developer, Engineering Supervisor, Architectural designer, Art Developer” will be new titles for our AI graduates. 

In the technology hub, the Government Polytechnic College located in Bangalore Urban surprisingly runs no formal AI courses. While Karnataka and Kerala race toward integration, other industrial hubs are taking a more cautious route. 

“Artificial Intelligence courses are presently not offered in Government Polytechnic Colleges in TamilNadu, though such courses are available in certain Government Aided and Self-Financing institutions. However, in line with Industry 4.0 requirements and emerging technological trends, new diploma courses such as Digital Manufacturing Technologies, Internet of Things (IoT), and Robotics and Automation have been introduced in many Government Polytechnic Colleges from the current academic year. As far as I understood, necessary initiatives are also being taken to obtain approval from the All India Council for Technical Education for these courses,” informs Prof. S. Ganesan, General Secretary of Tamil Nadu Polytechnic Association of Teachers.      

While rural colleges fight for basic power, their graduates face an even steeper climb: convincing a traditional industry that their digital skills translate to the factory floor. 

Meanwhile, in the manufacturing sector, the reception is cautious. Kirubhakaran, the Human Resources Manager in Excellpack Machines in Coimbatore, which specialises in manufacturing machinery, says, “We will only offer them entry level jobs. How do I know what they know or not? I am an engineering graduate but it took me a year to learn the nitty-gritties of manufacturing machines. The AI will be of no use in the field where I work.”

Regarding the job market, Mr. Javhare says, ”I feel AI has a strong future, but students from diploma backgrounds still need more industry exposure, internships, and advanced practical training. Many students are interested in robotics, automation, and AI-based technologies because these fields are growing rapidly.” 

From operators to supervisors

Despite the skepticism, the move toward an AI-integrated workforce seems irreversible. 

“An updated laptop and interest towards AI is sufficient to develop data driven AI applications and AI models,” says Prof. Preetha. She notes that 156 out of 290 students were placed in the recently concluded academic year, suggesting a resilient market for those with technical skills.

The diploma graduates will be the frontline workers of the AI revolution. “In industries, AI cannot function independently. Someone must integrate sensors, monitor robotic systems, and ensure continuous operation. This is the role of skilled diploma technicians. So the role of diploma students is shifting from operators to smart system supervisors. But the number of diploma graduates required might be less,” says Dr. Preetha.

She views the shift as an essential evolution for the modern student. “AI is not replacing diploma holders; it is transforming their roles. Diploma students who learn AI along with their core technical skills will have better job opportunities, higher salaries, and stronger career growth in the future.”

As Yash Javhare’s miniature traffic lights continue to blink in Lohegaon, his perspective remains simple: “The faster one adopts it, the better.”