About Department

B. Tech. in Artificial Intelligence is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.

This specialisation is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies. The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.

This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.

Artificial Engineering College in Nagpur
HOD Profile
Dr. Mangala Madankar


Head of Department of Artificial Intelligence

Dr. Mangala Madankar is Head of Department of Artificial Intelligence. She is having total experience of 18 years, 15 years in the field of academics and 3 years industry experience. She did her PhD in Information Technology from RTMNU, Nagpur. M.E. in Wireless Communication and Computing and B.E. in Computer Engineering, from RTMNU, Nagpur.

Her areas of research interests are Natural Language Processing, Data Science, Big Data and Information Retrieval Systems.

She has published more than 54 research papers in International Journals and Conferences with indexing in Scopus, Springer, Elsevier, IEEE, and ESCI. She has 179+ Google scholar citation and 8 h-index and h-10 index. She received active SPOC Appreciation Award By NPTEL IIT Madras in year (2018-19, 2019-20, 2020-21) and special appreciation award for motivating and encouraging students for taking NPTEL courses in 2018-19. She is also the recipient of Silver Medal in NPTEL course Formal Language and Automata by IIT Bombay.

She is a reviewer of International Conferences and Journals of indexing with SCOPUS/SCI ranking. She filed two patents and one published. She has worked as a project coordinator of COE – High Performance Computing, Android training Program by Natarajan Education Society, QEEE Program by IIT Madars. Remote center Coordinator ( IIT Bombay / IIT Kharagpur), ISRO Digital Learning, NPTEL Local Chapter, Virtual Lab by IIT Bombay, and involve in creation of credit transfer policy through digital learning.

She has worked as General Co-chair and Finance chair for various International Conferences, ICISP 2015 indexed by Elsevier, ICCICA June 2021 indexed by Helix Scientific Explorer, ICCICA June 2021 indexed by IOP Material Science, and IICCICA Nov 2022 indexed by IEEE. She had delivered various expert talks on “Automata Theory”, “Big Data”, “Game Theory”, She delivered a session on NPTEL Awareness program for Maharashtra region in coordination with IIT Bombay.

Vision & Mission
    Our Vision
  • To Achieve excellent standards of quality-education by using the latest tools, nurturing collaborative culture and disseminating customer oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.

    Our Mission
  • To develop professionals who are skilled in the area of Artificial Intelligence.
  • To impart quality and value based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
  • Our effort is to apply new advancements in high performance computing hardware and software.
Key Strengths
Cutting edge technology offered Machine Learning, Drone , Data Analytics
Student Clubs Coding Club
MoU's (Industry/Institutions/Organizations) Many leading industries and organizations for academics, placements, research works and internships.Konverge.AI, Nagpur, QICE Technologies Pvt. Ltd., Pune ,ProgrammingTree  Pvt. Ltd., Nagpur  Bennett University, Greater Noida, Uttar Pradesh.
Professional Society Chapters IEEE CIS Students Bombay Section Chapter
Faculty areas of expertise Machine Learning, AI , Data structure , Object Oriented Programming, Python
Skill based courses offered  100 hrs  ‘ Machine Learning EDGE Empower Program’ by Bombay Stock Exchange (BSE), Mumbai.
Patents & Copyrights 2 Copyrights
1.Stock Market Prediction using Deep Neural Network          Reg.No: L-82994/2019
2.Image Analysis and Classification of flower using Machine Learning Algorithm for creating organic color,Reg.No. : L-83890/2019
Departmental Magazine/Newsletter WISSEN
Programs Offered
B.Tech in Artificial Intelligence
Programme Educational Objectives

The Program Educational Objectives of the Artificial Intelligence and Machine Learning Under graduate program are designed to produce knowledgeable Machine Learning engineers who are ready to contribute effectively to the advancement of Intelligent Computing systems .The graduates shall:

  • PEO1: Apply analysis, predictions, optimization ,decision making and develop skills in order to formulate and solve complex Intelligent computing and multidisciplinary problems.
  • PEO2: Take up higher studies, research & development and other creative efforts in the area of Machine Learning.
  • PEO3: Use their skills in an ethical & professional manner to raise the satisfaction level of stake holders.
Program Outcomes

The students will be able to learn:

  • Engineering knowledge
  • Problem analysis
  • Design/development of solutions
  • Conduct investigations of complex problems
  • Modern tool usage
  • The engineer and society
  • Environment and sustainability
  • Ethics
  • Individual and team work
  • Communication
  • Project management and finance
  • Life-long learning
Program Specific Outcomes
  • PSO1: Apply the skills in the areas of Health Care, Education, Agriculture, Intelligent Transport, Environment, Smart Systems & in the multi-disciplinary area of Artificial Intelligence and Machine Learning.
  • PSO2: Demonstrate engineering practice learned through industry internship to solve live problems in various domains. Software applications for problem solving.
IEEE CIS Students Chapter


Our USPs
  • Industry Experts on Board of Studies
  • Syllabus designed by Industry Experts
  • Centre of Excellence in AI
  • MoU with Industries
  • IEEE CIS Students Chapter
  • Joint Projects with Research Organization and Industry
  • Signature Events – Data Science Summit, International AI Summit
  • Tie ups with Data Camp for free certification for Students
  • Well Equipped Labs
  • Practical Oriented Curriculum
  • At least 45 % marks (40% in case of reserved catergory for MS only) in Mathematics, Physics & any one subject from Chemistry / Biotechnology / Biology / Technical Vocational Subject in 10+2 class.
  • MHT-CET/ JEE(Main) non-zero positive score in Year 2020
Admission Procedure

Admission shall be through Centralized Admission Process (CAP Educational Institution shall admit Candidates through The stages of CAP shall be as stated below, - (a) Display or Publishing of Information Brochure by the Competent Authority. The Information Brochure shall be published on the website of the Competent Authority .The candidate should read the information brochure carefully. (b) The candidate should fill the Online Application Form as per the notified schedule for respective admission. Information Brochure for Admission to Under Graduate Technical Courses by DTE Maharashtra

CAP Admission
  • Registration with DTE
  • Merit List
  • Option form Filling
  • Allotment of College(Freeze, Slide, Float)
  • Report to College along with DTE allotment letter, original documents and prescribed fees for Actual Admission
Pattern of Course & Syllabus
Syllabus Highlights B. Tech (Artificial Intelligence)
Basic Computer Science Course
  • Programming
  • Computer Architecture and Organization
  • Operating System
  • Design and Analysis of Algorithms
  • Computer Networks
  • Theory of Computation
  • Database Management Systems
  • Software Engineering & Project Management
  • Mathematics Courses
AI Courses
  • AI Knowledge Representations and Reasoning
  • Introduction to Drones
  • Bio Systems with AI
  • Internet of Things
  • Intrduction to Robotics
  • Machine Learning Algorithms
  • Probability and Statistics Using R
  • Soft Computing
  • Natural Language Processing
  • Computer Vision
  • Deep Learning
  • Cloud Computing
  • Big Data Tools And Techniques
  • Information Sciences
  • AI in Finance
  • + 8 Electives (Industry Oriented)
Syllabus Highlights ( B. Tech (Data Science))
Basic Computer Science Course
  • Programming
  • Computer Architecture and Organization
  • Operating System
  • Design and Analysis of Algorithms
  • Computer Networks
  • Theory of Computation
  • Database Management Systems
  • Software Engineering & Project Management
  • Mathematics Courses
Data Science Courses
  • Introduction to Data Science
  • Data Preprocessing
  • Data Analysis Using R
  • Machine Learning Algorithms
  • Statistics for Management
  • Information Retrieval and Text Mining
  • Next Generation Databases
  • Big Data Computing
  • Cloud Computing
  • Machine Learning
  • Computer Vision and Deep Learning
  • +6 Industry Oriented Department Electives
Future scope of course /Opportunities after completing B.Tech
Artificial Intelligence Engineer Data Science Engineer
AI Engineer Business Intelligence Developer
Research Analyst Data Engineers
Machine Learning Engineer Data Scientist
Computer Vision Engineer Financial Analyst
Robotics Big Data Architect/Engineer
AI Research Scientist Database Administrator
Business Intelligence Developer Business Analyst



The department has 4 laboratories well equipped with hardware and software.There are Data science Lab, Drone Lab, Deep Learning Lab and Research Lab. The Data Science Lab has 100 licenses of Tableau Software. There is a dedicated research laboratory where students implement various AI projects.

Industry Supported Labs
  • Lab is equipment with 100 Licenses of Tableau Software
  • Dell Vostro 3470- Intel Core i3, 4 GB RAM, 1 TB HDD
Research Projects
Name of the Project Funding Agency Amount ( ) Faculty Name
Development of Artificial Intelligence based Continuous Air Quality Prediction and Management System. Microsoft’s ‘AI for Earth Microsoft Azure Compute Grant’. 11.38500 lac Dr. Gopal Sakarkar


Faculty Achievements & Awards
Name of Faculty Title of the Event Achievement / Award Awarding Organization
Prof. A. Thomas Engineers Day Best Teacher Award (2014-15) GHRCE
Prof. A. Thomas Engineers Day Special Achievement Award (2013) GHRCE
Prof. A. Thomas Engineers Day Special Recognition Award (2018) GHRCE
Prof. A. Thomas IEEE R10 STUDENT INTERNSHIP & SKILL DEVELOPMENT Recognition and Appreciation IEEE R-10
Dr.Gopal Sakarkar Engineers Day Best Teachers Award (2018-19) GHRCE

Recent Departmental Events

Scheme & Syllabus

BTech AI Course book
BTech Data Science Course book