Lingaya’s Vidyapeeth offers a B.Tech. in Artificial Intelligence and Machine Learning program – tailored for aspiring innovators. This program integrates core CSE principles with cutting-edge AI and ML technologies. Students gain expertise in neural networks, data analytics, robotics, and intelligent systems through a dynamic curriculum enriched with hands-on labs, real-world projects, and internships. Below are the key details about the B.Tech. CSE AI & Machine Learning program.
B.Tech. CSE (AIML) Course
The B.Tech. CSE in Artificial Intelligence and Machine Learning at Lingaya’s is a 4-year undergraduate program designed to equip students with advanced knowledge in AI and ML, blending core computer science fundamentals with specialized skills in data analytics, neural networks, and intelligent systems. With an annual intake of 60 students, the program emphasizes hands-on learning, industry-aligned projects, and research-driven innovation. Graduates can pursue a wide range of careers as AI Engineers, Machine Learning Engineers, Robotics Engineer etc. with top recruiters, including Google, Microsoft. TCS, Amazon etc.
The B.Tech. CSE (AIML) program includes a wide range of subjects across different semesters, such as:
- Semester I: Engineering Mathematics-I, Programming for Problem Solving Using C & C++, Integrated Electrical & Electronics Theory, and associated labs.
- Semester II: Engineering Mathematics-II, Web Programming with Python, AI Design Thinking and Engineering Workshop, along with practical labs.
- Semester III: Data Structures Using C++, Operating System, Digital Electronics, Computer Architecture & Organization, OS, and relevant lab practices.
- Semester IV: OOP using Java, Database Management Systems, AI, Computer Network, AI Lab and Value-Added Course-I.
- Semesters V: Artificial Neural Network & Soft Computing, Microprocessor & Microcontroller, Compiler Design, relevant labs and Minor Project-I.
- Semesters VI: Software Engineering, Pattern Recognition, Natural Language Processing, Mongo DB, and Minor Project-II
- Semesters VII to VIII: Deep Learning, Predictive analytics Modular, Computer Vision, IPR, Academic Basket and Elective courses along with Major Project-I and II.
The B.Tech. CSE with Specialization in AIML focuses on cutting-edge domains. Some of which include topics covered in the B.Tech in AI and ML syllabus.
- Neural Networks and Deep Learning
- NLP and Speech Recognition
- Computer Vision and Image Processing
- Reinforcement Learning
To enroll in Lingaya’s B.Tech. CSE with AIML Specialization, candidates must meet the eligibility criteria: a minimum of 50% in 10+2 with Physics, Mathematics, and Chemistry/Computer Science. The B.Tech. with Artificial Intelligence Program Admission process involves merit-based admission.
With an emphasis on innovation and affordability, Lingaya’s Vidyapeeth prepares students to thrive in AIML driven industries or pursue advanced research.
Top B.Tech. CSE (AIML) Colleges in India
Lingaya’s Vidyapeeth is the best choice to pursue a BTech CSE in AIML in Delhi-NCR. Lingaya’s Vidyapeeth equips students with the knowledge, skills, and hands-on experience needed to excel in the rapidly evolving field of AI & ML. With state-of-the-art facilities and numerous projects and internships, preparing them for successful careers in AIML driven industries. Give your career a huge leap in the field of AI & ML and enroll in Lingaya’s Vidyapeeth now!
Particulars | Details |
Full-Form | Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence & Machine Learning) |
Course Type | Undergraduate |
Specialisation | Artificial Intelligence & Machine Learning |
Course Duration | 4 years |
Examination Type | Semester-Wise |
Eligibility Criteria | Candidates should have passed with a minimum of 50% marks or equivalent in 10+2 Exam from a recognised board including Physics, Mathematics and either Chemistry or Computer science as a subject. |
Admission Process | Merit-based |
Top Recruiting Companies | Wipro, Infosys, Tech Mahindra, TCS, Paytm, Amazon, Microsoft, Accenture, Cognizant etc. |
Top Job Profiles | AI Engineer, Machine Learning Engineer, Data Scientist, Robotics Engineer, Research Analyst, IT Consultant, etc. |