Part-time B.Tech in AI and ML Engineering: A Complete Guide

Artificial Intelligence (AI) and Machine Learning (ML) have become immensely popular these days. Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries from healthcare and finance to e-commerce and manufacturing with rapid growth in automation, data science, robotics and deep learning. For working professionals who want to upgrade their skills without leaving their jobs, a Part-Time BTech in AI and ML Engineering program is a go-to, flexible and practical method to enter this hugely demanding field.

BTech in AI and ML Engineering – Work Integrated Learning Program:

Work Integrated Learning Program (WILP) course in BTech AI and ML Engineering combines academics with industry experience. This part-time course permits up-skilling without any break in the current job. In this course, the subjects are taught through a mix of online lectures, weekend classes and industry-based projects. Due to the advantage of students being in jobs, the learning of the course can be immediately applied in their workplace.

Few subjects taught in the WILP AI and ML engineering program include systems that can resemble human intelligence, developing algorithms for machines to understand data and self improve over time without being explicitly programmed, Python programming, data science fundamentals, artificial intelligence techniques, machine learning, natural language processing, robotics, computer vision, neural networks domains, deep learning and cloud-based AI applications.

BTech in AI and ML Engineering WILP Admission:

The admission process for BTech in AI and ML Engineering WILP course is the same as for other undergraduate engineering degrees:

• Completion of 10+2 with Physics, Chemistry, and Mathematics (PCM)
• Minimum 50% aggregate marks
• While certain institutes require diploma holders in engineering or technology.
• Relevant work experience, often ranging from 1 to 2 years, depending upon the institution.

Universities often provide flexible admission cycles in a year to enable multiple opportunities for working professionals to join the course.

Some institutions also offer Lateral entry in BTech in AI and ML Engineering to working professionals, helping students who already hold a diploma or related qualification to join the program directly in the second year (third semester) instead of starting from the first year, reducing overall duration of the degree.

Eligibility for lateral entry usually includes:

• A three-year diploma in engineering or technology from a recognized institute.
• Minimum qualifying marks as specified by the university.
• Relevant work experience in the technology sector.

BTech in AI and ML Engineering – Part-Time Degree for Working Professionals:

A Part-Time BTech CSE program in AI and ML Engineering or BTech in AI and ML Engineering – Online Evening Degree Program is a practical option for working professionals, as the courses are taught keeping in mind to accommodate the schedules of employees who may not be able to attend regular daytime classes. Classes are typically scheduled in the evenings, on weekends or delivered through hybrid learning platforms without any effect on professional or personal commitments.

These programs are delivered primarily through digital platforms or through cloud-based environments where students attend live or recorded classes during evening hours through digital/ virtual lectures with interactive sessions, labs, assignments, case studies and online examinations or assessments.

The details of subjects taught under the AI and ML course are summarized below:

Accessibility is one of the key advantages of online evening programs, as students from different cities can enrol and study these courses without relocating.

BTech in AI and ML Engineering – Integrated Work Study Programme:

An Integrated Work Study Programme (IWSP) in AI and ML engineering from WILP Mangalayatan University includes academic coursework with full-time or part-time work in industry. Unlike traditional programs that separate education and employment, IWSP combines both into a unified learning experience, which means that students in an IWSP program spend part of their time attending academic sessions and the rest working on industry projects. Because BTech for working professionals in AI and ML require strong practical skills, integrated work study programs are beneficial in preparing students for the demands of the technology industry.

Why Choose WILP Mangalayatan University for Part-Time AI and ML Engineering Program

WILP Mangalayatan University has a clearly designed Work Integrated Learning Program (WILP) that targets working professionals who have an interest in pursuing their careers in Artificial Intelligence and Machine Learning. The program offers a flexible learning process that includes online lectures, weekend classes and industry-related projects that enable students to work and simultaneously undertake the degree. The university has an industry-based curriculum, faculty with experience, and practical learning based on projects, which is aimed at developing technical skills in the field of AI and ML. The real-life applications are also the focus of the program, enabling professionals to put their knowledge into practice in their workplace and develop within the fast-changing technology industry.

Conclusion:

Logical reasoning skills, along with a deeper statistical understanding of maths, are basic requirements for the course. With flexible formats such as work-integrated learning programs, online evening classes, integrated work-study models, and lateral entry options, professionals can pursue advanced engineering education without interrupting their careers.