B.Tech AI/ML CAP 2026: Apply with 10+2 (50% PCM) & JEE Main/MHT CET score.

Admission for the B.Tech Artificial Intelligence and Machine Learning program for the CAP 2026 cycle is underway, with Shivganga Charitable Trust, Sangli’s Vishveshwarya Technical Campus, Faculty of Diploma Engineering, Patgaon, Miraj, among the institutions offering the course. Candidates aspiring to pursue a B.Tech degree in this field are required to meet specific eligibility criteria and possess valid entrance exam scores.

The program, also referred to as Computer Science and Engineering (Artificial Intelligence and Machine Learning), is available at two colleges in Sangli listed in the MahaAdmission public CAP database. The branch intake preview for this specialisation across Sangli is 180 seats, as per DTE and CET Cell authorities.

Eligibility and Admission Process for CAP 2026

Candidates seeking admission to the B.Tech Artificial Intelligence and Machine Learning program at Shivganga Charitable Trust, Sangli’s Vishveshwarya Technical Campus, must have completed their 10+2 education with a minimum aggregate of 50% in physics, chemistry, and mathematics. A valid score in either the JEE Main or MHT CET entrance exams is also a prerequisite for admission.

Reserved category candidates may be eligible for relaxation in the minimum percentage requirement, in accordance with government norms. For CAP 2026, candidates are advised to compare Computer Science and Engineering (Artificial Intelligence and Machine Learning) college options in Sangli using the MahaAdmission portal before finalising their option form. This includes checking branch intake, historical demand, and verifying category-wise seat matrix.

Curriculum and Campus Facilities

The B.Tech Artificial Intelligence and Machine Learning curriculum at Shivganga Charitable Trust includes core subjects such as Neural Networks and Deep Learning, Natural Language Processing, Data Structures and Algorithms, Probability and Statistics, and Computer Vision. The program aims to equip students with the skills to build intelligent systems capable of learning from data and making autonomous decisions, addressing the evolving demand in AI from basic model building to complex ML Ops and ethical AI governance.

The campus provides a conducive learning environment with modern laboratories, digital classrooms, advanced computer labs, a library, and research facilities. It features a peaceful and green environment with modern buildings and sports grounds. Separate hostel facilities are available for boys and girls, each with a capacity of 60 students. In addition, a bus transportation facility is offered from nearby cities and villages, providing safe and secure travel with experienced drivers and multiple pickup points at affordable fees.

Placement Support and Industry Tie-Ups

Shivganga Charitable Trust offers complete placement support and facilities to its B.Tech Artificial Intelligence and Machine Learning students. This includes training and workshops focused on aptitude, coding, communication skills, and mock interviews. Mock interviews, covering both HR and technical aspects, are conducted to enhance student confidence and performance.

The institution has established industry tie-ups with companies such as TCS, Infosys, Wipro, and Capgemini, supporting campus recruitment and internships. Guidance on resume writing, LinkedIn profile optimization, and portfolio creation is also provided. The campus conducts regular placement drives, with multiple companies visiting every year, and offers assistance in securing internships with reputed companies.

Further reading

• JEE Main exam pattern: sections, marking and duration Next step
• UPESEAT 2027 Registration Begins; BTech Admission Applications Open at upes.ac.in Applications open
• WBJEE registration: dates and steps to apply
• JEE Advanced application form: eligibility, dates and how to apply
• VITEEE application form: eligibility, dates and how to apply
• JEE Main: complete exam guide

Written by Nishit Kumar

Nishit Kumar is a senior EdTech industry leader with over a decade of experience in building and scaling education platforms, shaping their product, content, and growth strategy. At FindMyCollege, Nishit oversees content and editorial strategy, guiding topic selection and content frameworks to ensure accuracy, relevance, and student-first value across the website.

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