The three-year undergraduate engineering program, known as B.Tech Lateral Entry in Artificial Intelligence (AI) & Machine Learning (ML), is intended for students who have earned a diploma or completed the first or second year of a B.Tech program in a related discipline. The primary goal of the course is to gain in-depth knowledge of AI algorithms, data science, deep learning, and intelligent systems.
Applicants may be admitted straight to the second year (third semester) of the program if they have earned a three-year diploma in computer science, information technology, electronics, or a similar discipline.
The major goal of the B.Tech Lateral Entry-AI & ML program is to increase career growth prospects in cutting-edge fields by empowering diploma holders to advance their credentials and move into full-fledged engineering employment in the quickly expanding AI & ML domain.
Natural language processing (NLP), computer vision, reinforcement learning, machine learning algorithms, deep learning, neural networks, artificial intelligence, and expert systems are just a few of the fundamental topics in AI and ML that can help you further your career. Python, TensorFlow, PyTorch, R, Scikit-learn, Keras, and other tools and technologies are also available for you to learn. One of the most in-demand tech jobs in the world, with competitive pay and worldwide potential, is a B.Tech Lateral Entry in Artificial Intelligence (AI) & Machine Learning (ML). Multiple IT and software firms, finance, healthcare, factory automation, robotics, e-commerce, autonomous cars, and research labs can all benefit greatly from lateral entry BTech part time degree course.
B.Tech Lateral Entry – AI & ML program is designed with a Work Integrated Learning approach, ensuring professionals can seamlessly balance their education and career commitments.
For working professionals, diploma holders, and career changers who want to obtain an authorized engineering degree in the highly sought-after field of AI & ML without compromising their jobs or other responsibilities, the B.Tech Lateral Entry-AI & ML Online Evening Program in India is the best option. Technical and managerial abilities in the field of information technology are fostered by the online evening course B.Tech Lateral Entry-Data Science. The worldwide recognition of a B.Tech in AI & ML enables career progression both within and outside of India.
The most practical choice for working professionals is flexibility, which enables them to continue working while they study or work by taking classes on the weekends or in the evenings. There is no need to move or go to classes in person when you use the online option. Perfect for technicians, IT support personnel, and diploma engineers looking to develop in their careers. Enrolling in an online evening program for B.Tech Lateral Entry-AI & ML in India would allow you to learn about cyber defence technologies, further your profession, and obtain a distinguished degree. Additionally, you can keep working and attending to other responsibilities.
B.Tech AI & ML – Semester-wise Course Structure
3rd semester | 4th semester | 5th semester | 6th semester | 7th semester | 8th semester |
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Introduction to AI | Introduction to Machine Learning | Software Engineering | Web Technology | Deep Learning Techniques | Artificial Intelligence and Machine Learning in Health care and Agriculture |
Data Structure | Design and Analysis of Algorithm | Internet of Things | Computer Graphics and Multimedia | Digital Image Processing and Pattern Recognition | Departmental Elective Course-5
|
Database Management System | Operating Systems | Computer Networks | Data Mining Analytics | Departmental Elective Course-4
|
Project Part-II |
Theory of Automata and Formal Languages | Computer Organization and Architecture | Departmental Elective Course-1
|
Departmental Elective Course-3
|
Digital Image Processing and Pattern Recognition Lab | |
Digital Logic and Switching Theory | Conversational AI | Departmental Elective Course-2
|
Web Technology Lab | Internship Assessment | |
Data Structures Lab | Blockchain Technology | Software Engineering Lab | Computer Graphics and Multimedia Lab | Project Part-I | |
Database Management System Lab | Design and Analysis of Algorithm Lab | Internet of Things Lab | Data Mining Analytics Lab | ||
Digital Logic and Switching Theory Lab | Operating Systems Lab | Computer Networks Lab | |||
MATLAB | Internship Assessment |
Live & Recorded Lectures with cutting-edge tutorials.
Interact and Collaborate with Peers and Faculty
Online Mentoring
Use of Multimedia and Open Educational Resources
Flipped' Classrooms
E-portfolio & Peer Assessment
Work Integrated Advantage
Experiential Learning
Academic & Industry Mentorship
Continuous Assessment
Dissertation/Project Work