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Future-Ready Department

Artificial Intelligence & Machine Learning

The Department of Artificial Intelligence and Machine Learning (AI & ML) is a forward-looking and dynamic academic branch dedicated to preparing students for the future of technology and innovation.

Department Overview

About the AI & ML Department

The Department of Artificial Intelligence and Machine Learning (AI & ML) is a forward-looking and dynamic academic branch dedicated to preparing students for the future of technology and innovation. With the rapid evolution of intelligent systems and data-driven technologies, AI & ML have become the backbone of Industry 4.0, transforming every sectorβ€”from healthcare and finance to transportation, education, and cybersecurity.

This specialized program equips students with a deep understanding of core AI principles, machine learning algorithms, data science, natural language processing, computer vision, neural networks, and deep learning. The curriculum is carefully designed to strike a balance between theoretical foundations and hands-on experience, empowering students to develop real-world solutions using advanced tools, platforms, and programming languages like Python, R, TensorFlow, and more.

Our department is supported by a team of experienced faculty, modern laboratories, and industry-aligned projects, ensuring that students are not only academically sound but also industry ready. Regular workshops, hackathons, internships, and expert lectures provide exposure to current trends and applications in AI, robotics, automation, and intelligent systems.

Students are encouraged to engage in research, innovation, and entrepreneurship, with opportunities to work on interdisciplinary projects and publish in reputed journals. The department maintains strong collaborations with industry leaders and tech companies to bridge the gap between classroom learning and real-world applications.

As AI continues to revolutionize the global job market, our graduates are well-positioned for exciting careers as Machine Learning Engineers, Data Scientists, AI Researchers, NLP Engineers, Computer Vision Specialists, and AI Product Developers in top-tier companies, research organizations, and startups.

🎯 Vision

To be a pioneer department in AL & ML to impart knowledge and research culture for holistic growth and societal advancement.

πŸš€ Mission
  • Deliver comprehensive education in AI and ML combining theory and hands-on practice.
  • Foster a research-driven environment encouraging innovation and problem-solving.
  • Instill ethical values and social responsibility in the application of AI technologies.
  • Promote entrepreneurial skills to develop impactful AI solutions globally.
1635492110
Choice Code
60 seats
Intake
10 LPA
Top Package
4 labs
Lab Count
PS
Prof. S. P. Jadhav
Head of Department
M.Tech. (AI), Ph.D. (Pursuing)
✦ Innovation & Trends

Latest Trends in Artificial Intelligence

01
🧠

Cognitive Services

  • Vision
  • Language
  • Data Insights
02
βš™οΈ

Automation

  • AutoML
  • AIops
  • RPA (Robotic Process Automation)
03
πŸ’¬

Natural Language Processing

  • Chatbots
  • Document Intelligence
  • Sentiment Analysis
04
🎯

Personalization

  • Big Data Analytics
  • Personalized Digital Experiences
05
πŸ“‘

IoT

  • Smart Devices
  • Edge Computing
  • Big Data Convergence
AI Hierarchy

Domains Of Artificial Intelligence

ARTIFICIAL INTELLIGENCE

A program that can sence, reason, act and adopt

MACHINE LEARNING

Algorithms whose performance improve as they are exposed to more data over time

DEEP LEARNING

Subset of machine learning in which multilayered neural networks learn from vast amount of data

DATA SCIENCE

Data science uses complex machine learning algorithms to build predictive models.

Facilities

Labs & Infrastructure

🧠

Deep Learning Lab

GPU-powered workstations for neural network training and research

πŸ“Š

Data Science Studio

Big data tools: Hadoop, Spark, Python, R for analytics projects

πŸ‘οΈ

Computer Vision Lab

OpenCV, YOLO, and real-time image processing capabilities

πŸ€–

Robotics & IoT

Hands-on robotics, Arduino, and IoT integration projects

Key Subjects

Machine LearningDeep LearningNatural Language ProcessingComputer VisionData Structures & AlgorithmsStatistics & ProbabilityBig Data AnalyticsCloud Computing for AIReinforcement LearningNeural NetworksPython for AIAI Ethics & Governance

Career Opportunities

ML Engineer
Data Scientist
AI Researcher
Computer Vision Engineer
NLP Engineer
Data Analyst
AI Product Manager
Research Scientist

Top Recruiters

Amazon
Google
Microsoft
TCS
Infosys
IBM
Academic Programs

Major & Minor Courses

The concept of Major and Minors at B.Tech level is introduced, to enhance learning skills of students, acquisition of additional knowledge in domains other than the discipline being pursued by the student, to make the students better employable with additional knowledge and encourage students to pursue cross-discipline research.

πŸŽ“ Eligibility for Major (Honours) Degree

  1. iThe Student should have Minimum CGPA of 7.5 up to 4th Semester
  2. jStudent willing to opt for majors has to register at the beginning of 5th Semester
  3. kThe Student has to study advanced courses from the same discipline specified in the curriculum amounting to 20 credits. The students should complete these credits before the end of last semester.
  4. lStudent to opt for the courses from NPTEL/ SWAYAM / Coursera / other MOOC platform as recommended by concern BOS
  5. mIf the credits of NPTEL/ SWAYAM/ Coursera / other MOOC platform courses do not match with the existing subject proper scaling will be done.

βœ… Student complying with above criteria will be awarded B.Tech (Honours) Degree

πŸ“œ Eligibility for Minor Degree

  1. iThe Student should have Minimum CGPA of 7.5 up to 4th Semester
  2. jStudent willing to opt for minor has to register at the beginning of 5th Semester
  3. kThe Student has to complete additional courses from other discipline of their interest, which are specified in the respective discipline amounting to 20 credits
  4. lStudent to opt for the courses from NPTEL/ SWAYAM / Coursera / other MOOC platform as recommended by concern BOS
  5. mIf the credits of NPTEL/ SWAYAM / Coursera / other MOOC platform courses do not match with the existing subject proper scaling will be done

βœ… Student complying with above criteria will be awarded Minor Degree.

It is expected that all courses declared under Majors and Minors should be completed by the students through online platform. If courses are not offered by the online platform in such a situation student is permit to complete the course(s) in self study mode or offline mode offered by University.

πŸ”— https://dbatu.ac.in/major-minor-courses-for-engineering/
Admissions Open 2025-26

Ready to Start YourEngineering Journey?

Join hundreds of students who chose DVCOE for quality engineering education, career growth, and a bright future. Applications are now open for 2025-26.

βœ“ AICTE Approvedβœ“ DBATU Affiliatedβœ“ DTE Maharashtraβœ“ DTE Code: 16354