“Learn from yesterday, live for today, hope for tomorrow. The important thing is not to stop questioning.” -Albert Einstein
“Arise, awake, and stopnot till the goal is reached.” -Swamy Vivekananda
Artificial Intelligence and machine Learning (AI&ML) is a new, emerging field which consists of a set of tools and techniques used to extract useful information from data. Although is in the adoption stage in our country, but it has enormous potential to be utilized in various industries to solve complex problems. The major industries using Artificial Intelligence (AI) and Machine Learning (ML) include Agriculture, Education and Infrastructure, Healthcare, Transport, Banking, Cyber Security, Manufacturing, Entertainment, Hospitality and others.
The ability of a computer-controlled system to perform tasks that are mainly associated with human beings is called Artificial Intelligence (AI). The AI is a simulation of a machine’s natural intelligence that is programmed for communicating and learning human actions. They can perform human-like task and technologies merging with AI is continuing to grow.
Machine learning is a part of Artificial Intelligence that allows software applications in becoming more accurate at predicting outcomes without the need of being explicitly programmed. The machine learning algorithms utilize historical data as an input for predicting recent output values. Machine learning is crucial as it gives the enterprise a correct view of recent trends in business operation patterns and customer behaviour that supports the development of a new product.
The organisation Narula Institute of Technology (NiT) with a pool of distinguished faculties ensure a wide range of diverse learning experiences at both the undergraduate levels, with B.Tech. ranging from the fundamentals of Computer Science, Core Courses, Programming, Emerging Technologies like Big Data Analytics, Data Mining, Pattern Recognition, IoT, AI, Machine Learning, Cyber Security, Blockchain, Professional Ethics, Research Methodologies, and Open-Source Technologies—to name just a few. Department of AI & ML has started its UG program B.Tech. CSE (AI& ML) with 120 intakes.
Narula Institute of Technology has had the honour of having a host of Multinational Companies visit the campus be it, Infosys, ITC-Infotech, TCS, Capgemini, Cognizant, Deloitte, Wipro, IBM, BYJU’S, Accenture just to name a few. Our close industry connections with these organizations ensure better job opportunities for our students through the campus placement drives with astounding packages creating a niche in the professional world.
We welcome students to be the part of Narula Institute of Technology to experience a new journey for a successful engineering career.
Dr. Sagarika ChowdhuryHead, Dept. of AI & ML, Narula Institute of Technology
“Learn from yesterday, live for today, hope for tomorrow. The important thing is not to stop questioning.” -Albert Einstein
To be an excellent centre for education in the field of Artificial Intelligence and Machine Learning with an aim to produce competent students with a strong theoretical and practical background, suitable for industries and research with social responsibilities.
Duration: 4 Years
Duration: 2 Years
| Laboratory No | Name of the Laboratory | No. of students per setup (Batch Size) |
Important equipment | Utilization |
| Lab 1 | 316L Networking Lab and Web development Lab |
35 | PC: Acer Desktop G630 Intel Dual Core Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 2 | 316O Algorithm Lab and Software Engineering |
35 | PC: A) Dell Vostro 3268 Intel Core i3 7thGen (5) B) Dell Vostro 3471 Intel Core i5 9thGen (19) C) HCL Infiniti LA 330 Core 2 Duo(11) Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 3 | 316F DBMS Lab and Computer Graphics Lab |
35 | PC: A) Dell Vostro 3470 Intel Core i3 8thGen (30) B) Dell Vostro 3268 Intel Core i3 7thGen (4) C) HP Dx7480 AB Micro Tower (1) Others: Cisco Managed Edge switch |
Utilized |
| Lab 4 | 316H AI Lab and Data Structure Lab |
35 | PC: Dell Optiplex 3020 Micro Intel Core i3 3rdGen Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 5 | 316K Programming Labs (OOP with Java) And Programming Lab (C/Python) |
35 | PC: A) HCL Infiniti LA 330 Core 2 Duo Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 6 | 316E Numerical Programming Labs And Statistical Programming Lab |
35 | PC: A) Dell Vostro 3470 Intel Core i3 8thGen (30) B) Dell Vostro 3268 Intel Core i3 7thGen (4) C) HP Dx7480 AB Micro Tower (1) Others: Cisco Managed Edge switch |
Utilized |
| Lab 7 | 316R Research Lab |
15 | PC: A) HP 280G4 IntelCore i5 (15) Others: 48 port Cisco Managed Edge switch |
Utilized |
| Project Lab1 | Project Lab | 30 | PC: A) HP 280G4 IntelCore i5 (30) Others: 48 port Cisco Managed Edge switch |
Utilized |
| Academic Year | No. of SCI / Scopus Journals | No. of Books / Book Chapters | No. of Conferences | No. of IPR |
| 2022-23 | 4 | 7+1(Book) | 4 | 0 |
| 2023-24 | 15 | 6+6(Book) | 11 | 9 |
| 2024-25 | 14 | 20+12(Book) | 17 | 26 |
| Year | No of Events/Webinar/Seminar/Workshops |
| 2022-23 | 3 |
| 2021-22 | 6 |
| 2020-21 | 15 |
| 2019-20 | 5 |
| 2018-19 | 3 |