• Introduction
  • Head of Department
  • Course Details
  • Laboratories
  • Events
  • Artificial Intelligence
  • Machine Learning
  • Real world Application of AI
  • Faculty
  • AI Trends and Job Opportunities



Due to globalization, specialized Computer Engineers in the field of Artificial Intelligence & Machine Learning continue to be in high demand from businesses in many sectors and this field has been experiencing explosive growth. This Computer Science Engineering (Artificial Intelligence & Machine Learning) degree is designed to meet the needs of these businesses, to pursue a rewarding career. The curriculum designed by University of Mumbai is followed which combines theoretical knowledge with practical experiments to prepare for the world of work. This program is the right choice for the students who aspire in the IT sector and have that zeal to be a tool proficient. This course is also foundation for higher education and research area.

The department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) was established in AY 2020-21. The department started with an intake of 60 students in UG program. Department runs a UG programme in Computer Engineering, which is a 4 years, 8 semesters’ full time program. Department has adequate number of Faculty members and supporting staffs, which is well qualified, experienced and dedicated towards work and their responsibility . Department has spacious classrooms, tutorial room, a department lobby, experimentation laboratories equipped with latest equipment which are used in the field.

The department believes in student-centric, aims to professional engineer who are culturally vibrant, socially sensitive and enterprising with leadership qualities, communication qualities. Sincere efforts and sense of responsibilities provided by the faculty members and show their maturity to understand the problems of students and nurture them accordingly.


To provide employable CSE-AIML engineer for Society and Industry needs.


M1: Empower students with strong basic foundation.

M2: Develop technical and non technical Skills for lifelong learning.

M3: To promote student’s interest in higher studies, research and entrepreneurship to meet global challenges.

PEO1: Graduates will be prepared for analyzing, designing, developing AIML based software with creativity.

PEO2: Graduates will be skilled in the use of modern tools for problem solving and analyzing industrial and societal requirements.

PEO3: Graduates will be exhibited professionalism, inter-personal skills and constant learning to develop management qualities.

PSO1: Ability to analyze, design and develop applications by adopting the dynamic nature of Software developments

PSO2: Ability to use knowledge in Artificial Intelligence and Machine Learning to solve real world problems and identify the research gaps and render solutions with innovative ideas.

Head of Department


"The highest education is that which does not merely give us information but makes our life in harmony with all its existence.- Ravidranath Tagore."

It gives me an immense pleasure to lead the department of CSE –AIML. The motto of our department is to provide quality technical educations to students, which will lead them, sustain peaks in the field of technology. Department of CSE-Artificial Intelligence and Machine learning has labs equipped with high configuration machines and latest software’s required for teaching/learning process.

The department is committed to contribute in the overall growth of the students. , while academic excellence remains to be our strong fort. The spectrum of social, cultural, co-curricular and extra-curricular events at CSE-AIML is as intellectually stimulating, as is overwhelming! We do not turn you into book-worms or scholarly puppets but into competent professionals and genuine humans.

We have Researcher of AIML and IoT (RAIOT) club for nurturing leadership qualities and empower themselves with the Wings of Knowledge and Power of Innovation. We arranged Industrial Visit every semester students can interact with expert professional and understand the Industry needs. We encourage Technical Internship to narrow the gap between industry and curriculum. Most jobs require professional need to communicate effectively in writing whether through email, formal letters, notes, text messages or online messaging. Therefore Department started magazine “Human Amelioration”. It’s proud to say that we are able to publish two volumes due to huge response of the students in the first year itself. In which 30 % contents are non technical and 70 % technical content.

Even we emphasis on different social and cultural activities to enhance positive attitude, proactive thinking and being concern about humanity.

You come here with a passion; we convert that passion into your profession. So my dear young friends, I wish you a very happy and highly rewarding student life in CSE-AIML. My dear faculty and staff members, we together have to play our role in Nation building by contributing whole heartedly towards academics, research and innovation, a gigantic task.

Career Opportunities in Artificial Intelligence

  • AI Data Analyst
  • Product Manager
  • AI Engineer
  • Robotics Scientist
  • Big Data Engineer
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Research Scientist

    The top 10 companies make use of AI and are recruiting for the same –

  • Amazon
  • Apple
  • Google
  • Facebook
  • DJI
  • Anki
  • Clarifai
  • Deepmind
  • Casetext
  • DataVisor
  • Course Details






    SEM IV


    Engineering Mathematics - III

    Engineering Mathematics - IV


    Discrete Structure and Graph Theory

    Analysis of Algorithm


    Data Structure

    Database Management System


    Digital Logic and Computer Architecture

    Operating System


    Computer Graphics



    Mini Project 1A

    Mini Project 1B



    SEM V

    SEM VI


    Computer Network

    Data Analytics and Visualization



    Web Computing


    Cryptography and System Security



    Artificial Intelligence


    Software Engineering and Project Management



    Data Warehousing &


    Machine Learning



    CSDLO5011 : Statistics for Artificial Intelligence & Data Science

    CSDLO5012: Advanced Algorithms

    CSDLO5013: Internet of Things

    CSDLO6011 :High Performance Computing

    CSDLO6012: Distributed Computing

    CSDLO6013: Image & Video processing


    Mini Project 2A

    Mini Project 2B




    Name of the lab: L1: AI & Data Analytics Lab

    Lab In charge : Prof. Sarita Khedikar

    Lab Assistant : Mrs. Rajashree Pachpande & Mr. Hansraj Shrimangle

    Details of Resources &Equipments:

    Lab consists of all essential equipment's like Desktop PC , Printer, Switch , Router ,Projector ,Web camera, Headphone

    Name of the lab: L2: Network & Cyber Security Lab

    Lab In charge : Prof. Kirti Rana

    Lab Assistant : Mrs. Rajashree Pachpande & Mr. Hansraj Shrimangle

    Details of Resources & Equipments: Lab consists of all essential equipment's like Desktop PC , Printer, Switch , Router , Web camera, Headphone

    Name of the lab: L3: Software & Project Management Lab

    Lab In charge : Prof. Manisha Hatkar

    Lab Assistant : Mrs. Rajashree Pachpande & Mr. Hansraj Shrimangle

    Details of Resources & Equipments: Lab consists of all essential equipment's like Desktop PC , Printer, Switch , Router ,Web camera, Headphone




    Department Day

    The objective of the event was to provide opportunities to different talents and thereby perform cultural activities among the students of AIML & IoT Department. The students of AIML & IoT Department conducted the event after preparing for the whole week. The event encompassed various activities like dance, games, singing, DJ, food, etc. Students enjoyed the fest, showcased their talents, organizers gained management experience, participation and interaction among students increased exponentially.

    Social Activity

    TThe purpose of the visit was to spread knowledge about cutting edge technologies of Artificial intelligence & Machine Learning and Internet of Things among 9th & 10th standard students of ZP School.

    We did so by making an attractive presentation by presenting some videos and explaining them more efficiently for them to grasp the information easily. We also told them some real-life examples so they could understand the need for cutting-edge technologies. The session turned out to be interactive with the students actively voicing out their career goals and asking their queries on gained information

    Industrial Visit

  • Industry expert Interaction with students
  • Students are able to learn how embedded systems work, how AI & IOT gives birth to a beautiful concept like embedded systems which help us to make ours and others' lives easier.


  • Artificial Intelligence


    In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. It is also defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving" - Russell & Norvig (2003)

    Agents and Environments

    Agents: anything that can perceive its environment through sensors and acts upon that environment through effectors A human agent has sensory organs such as eyes, ears, nose, tongue and skin parallel to the sensors, and other organs such as hands, legs, mouth, for effectors. A robotic agent replaces cameras and infrared range finders for the sensors, and various motors and actuators for effectors. A software agent has encoded bit strings as its programs and actions.


    Machine Learning


    Machine learning has become one of the most important topics within development organizations that are looking for innovative ways to leverage data assets to help the business gain a new level of understanding. Why add machine learning into the mix? With the appropriate machine learning models, organizations have the ability to continually predict changes in the business so that they are best able to predict what's next.

    As data is constantly added, the machine learning models ensure that the solution is constantly updated. The value is straightforward: If you use the most appropriate and constantly changing data sources in the context of machine learning, you have the opportunity to predict the future. Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming.

    However, machine learning is not a simple process. Machine learning uses a variety of algorithms that iteratively learn from data to improve, describe data, and predict outcomes. As the algorithms ingest training data, it is then possible to produce more precise models based on that data.

    A machine learning model is the output generated when you train your machine learning algorithm with data. After training, when you provide a model with an input, you will be given an output. For example, a predictive algorithm will create a predictive model. Then, when you provide the predictive model with data, you will receive a prediction based on the data that trained the model.

    Machine learning is now essential for creating analytics models. You likely interact with machine learning applications without realizing. For example, when you visit an e-commerce site and start viewing products and reading reviews, you're likely presented with other, similar products that you may find interesting. These recommendations aren't hard coded by an army of developers.

    The suggestions are served to the site via a machine learning model. The model ingests your browsing history along with other shoppers browsing and purchasing data in order to present other similar products that you may want to purchase.


    Real World Application



  • Machine can think of large number of possible positions based on heuristic knowledge

    Natural Language Processing

  • Interact with the computer that understands natural language spoken by humans

    Expert Systems

  • Impart reasoning, advise and explanation to humans
  • Gate allocation for the planes
  • Dynamic Ticket pricing

    Neural Networks

  • Vision system Understand, interpret, and comprehend visual input on the computer. Ex: Pictures taken by spy planes, doctors to diagnose, face recognition
  • Analyze satellite images where areas have highest poverty
  • Speech Recognition
  • Handwriting Recognition

    Intelligent Robots

  • Industrial robots for moving, spraying, painting, precision checking, drilling, cleaning, coating, carving



    AI Trends and Job Opportunities


  • AI will become political talking point Jobs will be created and jobs will be lost

  • Logistics will become increasingly efficient Amazon Robotics -- use a combination of artificial intelligence and advanced robotics

  • Mainstream auto manufacturers will launch self-driving cars

  • DARPA will develop advanced robo-warriors in plain sight

  • Machine learning will aid knowledge workers

  • Content will be created using AI

  • Consumers will become accustomed to talking with technology (Siri, google Home etc)

  • AI will fight challenging diseases (Covid-19, Cancer etc)