Academics
B.Tech (Artificial Intelligence and Machine Learning)
Dr. Shruti Patil
BTech Gold Medalist (Computer Science),
MTech (IT) , Phd(Computer Science),
Head (Department of AI&ML),
Research Associate (SCAAI),
Associate Professor (CS&AI)
Overview
The technology of Artificial Intelligence and Machine learning is at the forefront of developing intelligent solutions to real-life problems. As our technology-laden society increasingly relies on digital data, machine learning is crucial for most of our current and future applications. Engineers with AI expertise would be needed in all the crucial domains such as Healthcare, Industry 4.0, Finance, Agriculture, Security, Law, and Environment Management in the near future. The Department of Artificial Intelligence and Machine Learning is established at SIT, Pune in 2021 to spearhead the development of globally competent engineers with AI knowledge and expertise in applying AI to challenging projects. The department, in collaboration with Symbiosis Centre for Applied AI (SCAAI), offers, programs in B.Tech (AI&ML) with an intake of 120 and M.Tech (AI&ML) with an intake of 30 students. A degree in this program is valuable and will make the student industry-relevant with apt knowledge and effectual interpersonal skills and communication skills.
The department has very competent faculty to teach specialized courses and elective courses like Explainable AI, Generative Adversarial Networks, and Multimodal AI.
The faculty is actively engaged in research and publications and has recognized projects to their credit in collaborations with industry, international universities, and research labs of high repute. The students have actively engaged in application-based projects as well as research projects with industry, R&D labs, research centers as well as international universities.
The programs offer the opportunity for the overall development of the students via Global immersion program, internships, industry co-teaching, certificate programs, workshops and project based teaching-learning pedagogy.
The department is also collaborated with Tech Mahindra (Makers Lab) for conducting specialized modules in Natural Language Processing, Computer Vision and also for research projects and internships.
| BTech Program Intake : 120 seats | Brochure Link |
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Program Highlights
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Curriculum Highlights
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Department Best Practices
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International University Collaboration and MoU’s
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Ingolstadt University, Germany
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Indiana University Purdue University, Indianapolis, U.S.A
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Nanyang Technological University,Singapore
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Leibniz University,Germany
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Berlin School of Law andEconomics
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Telecom Ecole De Management,Paris
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University of Adelaide,Australia
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University of Malta,Malta
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King Mongkut’s University,Thailand
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University of Malaya,Malaysia
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Ritsumeikan University, Japan
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Hanyang University, SouthKorea
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Western University, Canada
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RUDN University, Russia
Industry Mou’s of the Department
The department has state of art computing facility as
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High performance computing lab with Nvidia GPU
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Data Analytics and Visualization lab
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Apple lab for multimedia and analytics
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Deep Learning Lab with i7 machines and higher processing power
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Computer Centre with machines in high configuration and licensed software required for teaching and research.
Department’s ongoing research and consultancy:
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Dr. Ketan Kotecha, received, DUO- INDIA Professor fellowship under Asia - Europe Meeting (ASEM-DUO) with Brunel University, UK, 2020
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Dr. Ketan Kotecha received, two Research grants worth INR 1.66 crores under Promotion of Academic and Research Collaboration(SPARC) scheme by MHRD, Govt of India, in collaboration with Arizona State University USA and University of Queensland, Australia
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Dr.Shruti patil, Prof Pooja Kamat and Dr.Shilpa Gite received grant of 10 lakhs from Symbiosis International University for “Attention Span estimation using artificial intelligence in education 4.0”
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Prof Prachi Kadam received grant of 10 lacs for building and leveraging indian food image data set for Calorie Calibration of Indian dietary
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Prof Vijayshri Khedkar received grant of 10 lacs for Machine Learning Based Vibration Response Analysis of different Plates using Cymatics.
Expected Job Roles :
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
- Software Engineer
- Software Architect
- Data Analyst
- NLP Engineer
- AI Engineer
- Product Manager
Top Recuiters :
- Microsoft
- Netflix
- Meta
- Amazon
- Apple
- Oracle
Intake per Year
B Tech in Artificial Intelligence and Machine LearningB Tech Program : 120
Student Testimonials:
Aadith Sukumar, student of B.Tech (Artificial Intelligence & Machine Learning) https://youtu.be/DPIO8LYm-jk
Eligibility
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies from any recognised Board with a minimum of 45% marks or equivalent grade (40% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Direct Second Year Admission
Diploma Course/ Diploma in vocational Course from any recognized Polytechnic College as per AICTE norms.
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Passed Diploma in Vocational stream in the same or allied sector as per AICTE norms.
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Passed BSc Degree from a recognized university as defined by UGC [Obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) and passed H.S.C with mathematics as a subject as per AICTE norms.
Know about the admission process for B.Tech
https://sitpune.edu.in/first_add_admission_procedure
FAQs
Admission FAQs - B.Tech (Artificial Intelligence and Machine Learning)
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1. |
What is intake for B.Tech AI and ML? |
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The Intake for B.Tech AI and ML is 120 students. |
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2. |
What are the eligibility criteria for B.Tech AI and ML ? |
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B.Tech AI and ML Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies from any recognised Board with a minimum of 45% marks or equivalent grade (40% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes). |
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3. |
What are Infrastructure facilities available for AI and ML? |
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GPU- DGX (DL WS P2587 4V100/256GB 32G) Server HP IDS Z8 G4 Workstation G4 90 1125W APJ Chassis |
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4. |
What are courses offered for B.Tech AI and ML? |
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Please refer to the programme structure section from the website.www.sitpune.edu.in |
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5. |
What are employment opportunities after completion of B.Tech AI and ML? |
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There are huge opportunities for different positions after successful completion of undergraduate and postgraduate programmes. Some of these opportunities are listed here a) Data Engineer b) Data Analyst c) Business Analyst d) Machine Learning Engineer e) Deep Learning Engineer f) Data Scientist g) AI Scientist |
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6. |
Any prior knowledge of statistics and mathematics required for learning Machine and deep learning? |
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No. We have incorporated the basics concepts of statistics and mathematics required for learning Machine and deep learning. |
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7. |
Any Industry Collaborations for B.Tech AI and ML ? |
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Yes. We are in collaboration with Tech Mahindra (Makers Lab) for conduction of few courses. Collaboration with other companies is also in progress. |
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8. |
What are the possibilities of a placement in a good MNC company? |
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Symbiosis institute of technology is associated with eminent companies such as google, Microsoft, amazon, and many more. So students have very good opportunities to get placed in such companies for their bright future endeavors. |
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9. |
Will contemporary technologies such as IoT, Cyber Security be covered along with AI-ML courses? |
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In the given curriculum, we have given opportunities to students to stream themselves or acquire the specializations in various areas such as Embedded-AI(AI + IoT), Cyber Physical Systems(IoT + AI + Security), etc. |
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10. |
Why are Artificial Intelligence technologies the talking point in the world today? |
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In ancient times, devices such as desk computers were not capable of doing high-level computations which were required to run machine learning applications. However, now, along with the availability of machines, these algorithms are capable of doing high-level computations and automate various processes. Furthermore, current algorithms such as chatbots are intelligent enough to handle communication with clients, perform critical tasks, banking transactions, etc. |
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What role AI will play in empowering industries? |
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In recent times, with the advent of technologies such as Industry 4.0, Healthcare 4.0, smart cities, smart buildings, etc, AI has a major role to play in changing the functioning of current industries. However, decision making roles will still be handled by humans with the help of AI tools. |
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12. |
How B.Tech in CS and AI/ML are linked or different from each other? |
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If we talk about software engineering, the sub-problem solutions are correct, however, it is not the same in machine learning — you find errors and the aggregate results can be dismay. In a nutshell, the world needs software engineers as much as they need machine learning engineers. Both the job roles need to work symbiotically with each other. Machine learning needs you to have a solid foundation in mathematics and statistics. However, software engineering is usually the default route most people often fall victim of. But the degree definitely prepares you for the bigger picture. Also, being a software engineer does not prevent you from becoming a machine learning engineer. Machine learning engineers think on these lines —space of models, deployment, and the impact. In a nutshell, the world needs software engineers as much as they need machine learning engineers. Both the job roles need to work symbiotically with each other. |
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How would you explain machine learning to a software engineer? |
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Software engineering is about developing programs or tools to automate tasks. Machine learning is all about automating automation! Machine learning is about finding the optimal instructions to automate a task. Machine learning algorithms are instructions for computers to learn other instructions automatically from data or experience. Therefore, machine learning is the automation of automation. |
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14. |
Why is AI a hot topic today? |
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A lot of things have aligned to make this an exciting time for major advancements in AI.
are capturing more signals from customer interactions.
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15. |
I have heard about AI. What is it exactly? |
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Artificial Intelligence (AI) is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language. While no one is expecting parity with human intelligence today or in the near future, AI has a big application in our day to day lives. The brain behind artificial intelligence is a technology called machine learning, which is designed to make our jobs easier and more productive. |
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16. |
Am I already using AI? |
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Yes. Almost everyone who has a computer, smartphone, or other smart device is already using AI to make life easier:
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17. |
What are the key highlights of B.Tech AI and ML? |
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18. |
How much will be the fees for this course? |
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Please refer to the Admission section--->Related year/ course--->Fee structure from the website.www.sitpune.edu.in |
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19. |
Whether a hostel facility is available? |
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Yes. Please refer to the infrastructure section from the website.www.sitpune.edu.in to view the hostel facilities. |
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20. |
Whether the student will have an internship during this course? |
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Yes. |
Programme/ Course Structure
Recent Activities
The Department of AI and Machine Learning SIT Pune in association with AI Club is organizing a session on the topic 'Generative AI' by Nikhil Malhotra Mr. Nikhil Malhotra is the Chief Innovation Officer and creator of Maker’s Lab, a unique Thin-Q-Bator space within Tech Mahindra with 21+ years of experience.
The BTech and MTech students were given exposure to the latest AIML industry work via seminars and workshops by an eminent industry professional
1. Joint Aston-SIT AL/ML Hackathon was successfully completed during 16th – 18th May 2022 at Symbiosis Institute of Technology, Lavale, Pune. This Hackathon is part of the Industry-inspired Transnational Education in Artificial Intelligence / Machine Learning project.
2. An Interactive Session with 75 plus students of #Chiba and Gunma University, Japan was an amazing experience to the #SIT AIML Students, under the guidance of Dr. Shruti Patil and execution by Prof. Smita Mahajan on 12th Feb 2023. The session was indented to give the glimpses of "Technological Advancement and Application of AI in India", where along with the discussion about various ongoing implementations in India, SIT-AIML students also displayed their projects!!
3. An Enlightening International #ExpertTalk organized by the Department of AI and Machine Learning S IT Pune on the "Applications of Machine Vision in Medical Image Analysis" by renowned expert Dr. Jayasree Chakraborty. She is currently working in Memorial Sloan Kettering Cancer Center in the Department of Surgery (Hepatopancreatobiliary Service), New York. Her extensive research in the field of Medical Image Analysis has been published in numerous International Journals, Conferences and Book Chapters.
4. The Department of AI and Machine Learning SIT Pune in association with the AI Club is here with yet another, Expert Session on STRATEGY ON HOW TO WRITE HIGH-IMPACT PAPERS IN Q1/Q2 JOURNALS (Perspective from a Highly Cited Global Researcher) by Dr. Biswajeet Pradhan, Distinguished Professor, University of Technology, Sydney, Australia
5. Students and Faculty members of SIT- Symbiosis Institute of Technology (Deemed University) and Department of AI and Machine Learning SIT Pune will work on a collaborative project with Aston University Uk, Sylvia Wong Matt Dean Kate Sugden under #britishcouncil grant.5. Students and Faculty members of SIT- Symbiosis Institute of Technology (Deemed University) and Department of AI and Machine Learning SIT Pune will work on a collaborative project with Aston University Uk, Sylvia Wong Matt Dean Kate Sugden under #britishcouncil grant.
6. Our Second Year -AIML student Tejas Dalvi got an opportunity to go on the Study Tour to Paris under the Global Immersion Program at SIT!
7. Dr. George Ghinea from Brunel University delivered a lecture to AIML students on the “Applications of Machine Learning for Emotion detection”
8. Our AI and Machine Learning students had an opportunity to listen to Prof. Ruggero Donida Labati and Prof. Pasquale Coscia, Università degli Studi di Milano on advanced AI usecases in Computer Vision!
1. Department of AI and Machine Learning SIT Pune conducted corporate training in Data Science to Larsen & Toubro employees.
2. Department of AI and Machine Learning SIT Pune at Symbiosis Institute Of Technology Pune organized an extravagant AI and Machine Learning based project exhibition that demonstrated deployed web based projects in various applied AI domains by our First Year and Second Year AI-ML students.
3. Grand Inauguration of Artificial Intelligence department at Symbiosis Institute Of Technology Pune Symbiosis International (Deemed University) .
4. Successfully conduction of Buddy's Session!!
The second year #AIML students had the pleasure of attending a session on #StreamLit conducted by their buddy Lalit Shrotriya, third year CSE student. The buddy's session was organized by Pooja Kamat Ph.D. and Ruchi Jayaswal. It was aimed at introducing the students to the basics of StreamLit.
5. The Second-Year students of the Department of AI and Machine Learning SIT Pune have a wonderful opportunity to be taught, guided and mentored by our esteemed Director and Dean Ketan Kotecha sir on the cutting-edge topics of Machine Learning and Artificial Intelligence. Ketan Kotecha is also the center head of SCAAI - Symbiosis Centre for Applied AI and the students get immensely benefitted with his expertise and strong knowledge experience of the domain!!
6. The Internet of Things (IoT) with its diverse applications and facets makes it possible to optimize existing services which thus makes it truly interdisciplinary! SIT Pune was extremely glad to inaugurate the IoT_Tech Club on 14th March 2023 at the hands of our Director Dr. Ketan Kotecha and Chief Guests for the event Mr. Basavraj Hooli, Senior Advisor, CDAC and Mr. Ajit Sarnaik, Senior Software Architect,Cloud Defense.
7. ACM Student Chapter@ Dept. of CSE and AIML, SIT.
8. Our student Aadith Sukumar from Second Year, Department of Artificial Intelligence and Machine Learning, conducted a workshop on command line hacking and Wireshark basics organized by the @Cyber blockchain Club.
9. Lecture session and hands on workshop on Advanced Python by AIML faculties
10. Second Year AI ML students had an extensive hands-on workshop on MongoDB by Mr. Amarjeet Singh, Director, Asreet Consulting Services.
1. Glimpses of Triumph: Basketball and Handball Champions held at the esteemed SIT- Symbiosis Institute of Technology, Pune, as part of PROTA 2k23!!
2. Congratulations to our Second Year Department of AI and Machine Learning SIT Pune students, Sahil Nagaralu and Sanskar Jadhav for securing the Third prize in the Maharashtra level competition of Technovation 2023, held at Sanjeevni Engineering College, Kopergaon.
3. Congratulations to Sandeep Vishwakarma , M.Tech AI ML student at SIT Pune on his outstanding performance in the Mined 2023 Hackathon at Nirma University, Ahmedabad, Gujarat, India ! Your achievement of securing 1st prize in the Open Innovation track and 3rd position in the Grand Prize is truly commendable.
4. The students of the Department of AI and Machine Learning SIT Pune, Aadith Sukumar, Apoorv Gupta, @Nisarg Patel, Jainil Patel, @Amitesh Patra and Kumar Rohit at the #TechnoVision Festival of JSPM Narhe Technical Campus on the 1st of March, 2023 and emerged as winners. Aadith and Apoorv won First place winners at the #PosterNexus Project Competition. Aadith Sukumar and @Nisarg also participated in the #Venture's Arena entrepreneurship pitching competition in which they won 2nd runners-up among ten competitors across Pune.
5. Our #MTech AIML Department of AI and Machine Learning SIT Pune students have once again proven their mettle! We're proud to announce their participation in the largest hackathon organized by the Rajasthan Government in collaboration with ineuron.ai and pwskills on the auspicious occasion of Rajasthan IT Day.
6. Our Second Year AIML Department of AI and Machine Learning SIT Pune student Kartik Aggarwal was invited as the guest speaker along with the supportive speaker Jatin Lamba at Maharaja Surajmal college, IP university , #NewDelhi where he conducted a lecture on #Model United Nations (MUN).
7. We are super proud to share that our Second Year AIML students Sugam Sharma, Roshan Yadav and Sahil Nagaralu coveted the worthy first prize of Rs.15K amongst 150 students at HackScript 4.0 conducted at A.P Shah Institute of Technology,Thane
1. Dr. Shruti Patil, Head of AI and Machine Learning department, SIT Pune was invited to an enriching panel discussion on Innovation in Higher education and future possibilities - A farsighted approach at the Elets Education Innovation Summit, Pune
2. Congratulation to Dr. Anupkumar Bongale for his remarkable achievement! Your exceptional research work and dedication have earned you the well-deserved best paper award at IEEE Conference ICACCS_2023.
3. Excited to announce the release of latest book on Computer Vision from the AIML department, co-authored by Dr. Shilpa Gite, Associate Professor, SIT!! It is Scopus indexed and published by De Gruyter in Computational Intelligence.
4. The faculties at the Department of AI and Machine Learning work on numerous Applied AI-funded research projects. Interdisciplinary and collaborative research is always encouraged at the institute. Our UG and PG students get an opportunity to be on board thereby gaining experience in experimental research, publications, and patents! Presenting some of the research projects the faculties secured as Principal Investigators along with their CO-PIs.
5. Dr. Harsh Dhiman sir successfully delivering the Training session at CTEA, Larsen & Toubro, Madh campus!!
1. Symbiosis Institute Of Technology Pune has signed MOU with Rubiscape for Center of Excellence (CoE) in AL ML domain.
Tata Central Archives, Tata Management Training Centre Campus
Atreya Innovations Pvt. Ltd, Hinjewadi, Pune.
Vision of the Department:
To impart quality education with research insights for developing competent global engineers in the field of Artificial Intelligence and Machine Learning to solve societal problems.
Mission of the Department:
- To educate students on cutting-edge AIML technologies with strong industry connections to develop problem-solving capabilities, leadership, and teamwork skills.
- To produce quality research through national and international collaborations leading to publications, IPR, and sponsored/funded projects.
- To inculcate professional values with lifelong learning through curricular and co-curricular activities and create globally-aware citizens.
Vision of the Institute:
To be a center of excellence for creation and dissemination of knowledge by imparting life skills and experiential learning for a promising future in the areas of engineering and technology.
Mission of the Institute:
- To promote professional ethics and experiential learning for better employability.
- To contribute towards knowledge generation and dissemination in the field of engineering.
- To address societal problems by promoting research, innovation and entrepreneurship.
- To develop global competencies amongst students by fostering value-based education.
- To strengthen industrial, Institutional, and international collaborations for synergetic relations.
Program Educational Objectives (PEOs):
- Apply the knowledge of the latest trends of AIML and will be engaged in technology development and deployment for engineering systems in their profession.
- To be competent AIML engineers with innovative thinking and research attitude to solve the real-world problems.
- To have enhanced interpersonal and managerial skills to function effectively in their profession with social awareness and responsibility.
PROGRAM OUTCOMES (PO):
Engineering Graduates will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-long learning:Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAM SPECIFIC OUTCOMES (PSOs):
- To apply the concepts of Artificial Intelligence and Machine Learning with practical knowledge in analysis, design and development of intelligent systems and applications to multi-disciplinary problems
- To provide a concrete foundation to the students in the cutting edge areas Artificial Intelligence and Machine Learning and excelling in the specialized areas like Natural Language Processing, Computer Vision, Reinforcement Learning, Internet of Things, Cloud computing, Data Security and privacy etc.
Graduate Attributes
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GA 1 |
Scholarship: research, inquiry and lifelong learning |
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GA 2 |
Global citizenship: ethical, social and professional understanding |
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GA 3 |
Eco-literate: sensitivity towards a sustainable environment |
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GA 4 |
Employability: equipped with skills, attributes, leadership and entrepreneurial qualities that society needs; being capable of making a contribution to society through earning a living |
CO's
| Introduction to Python Programming | |
| CO 1 | Determine the data types of values and use indentation, comments in writing Python programs |
| CO 2 | Understand the built-in functions in Python and apply control structures |
| CO 3 | Create and manipulate items in lists and to perform string operations |
| CO 4 | Use methods associated with dictionaries and manipulate items in tuples |
| CO 5 | Demonstrate the use of built-in functions to navigate the file system and Create regular expressions that match text patterns |
| CO 6 | Demonstrate the implementation of instance variables, methods, and constructors with object oriented concepts |