The BTech in Artificial Intelligence and Machine Learning program offers outcome based education with Choice Based Credit System. The aim of this program is to prepare a professionally competent student with technological leadership skills ready to work in a multidisciplinary work environment across the globe.
The UDICT has taken a novel initiative in changing the paradigm of education in the recent scenario of Industry 4.0. In this scenario, there is a surge in the use of “Smart” technologies i.e., cloud computing, big data analytics, networked machines and processes. Thus, there is a need for trained human resources in the domains of IoT (networked machines and sensors), Blockchain (data integrity and security), and Big Data analytics (volume, variety, velocity, veracity and value).
The program makes the students ready for positions in a wide array of industries and MNCs, as well as, opening the doors to the start-up universe. A lucid blend of fundamental and recent technologies is offered to the students for enhancing their skills for employability.
Artificial intelligence and machine learning are helping people and businesses achieve key goals, obtain actionable insights, drive critical decisions, and create exciting, new, and innovative products and services.
There are several sensors, satellites, simulators etc. which are generating several petabytes of data every hour. For such systems, the physics is understood, but the mathematical or statistical model is required to make predictions, classifications or recommendations. Artificial Intelligence and Machine Learning (AI and ML) are techniques to help a user of the data to arrive at decisions based on the black box model arrived at through these techniques. Several real- world applications of AI and ML exist, which cross the silos of a single discipline of engineering and find applications in day-to-day life as well as for sustainable and safe planning, and decision making.
The Bachelor of Technology Program intends to train the student not only on the techniques, but also on applying these techniques to several other disciplines like Civil, Mechanical, Electrical, Electronics, Chemical Engineering etc.
SR.NO | NAME | Organization |
---|---|---|
1 | Dr. S. C. Tamane | Professor and HoD, UDICT, MGM University. |
2 | Dr. Parminder Kaur | Professor, UDICT, MGMU |
3 | Ms. Vijaya K Ahire | Associate Professor, UDICT, MGMU |
4 | Ms. Madhuri Kawarkhe | Assistant Professor, UDICT, MGMU |
5 | Mr Anand Bhalve, | CTO, Cadence Data Soft Pvt. Ltd. Pune, Email id: [email protected], Phone No: 9850711663 |
6 | Dr. Xavier Chelladurai | Director- HRDC & Professor, CSE, Christ University Emaild id: [email protected], Phone No: 9840128586 |
7 | Dr. Surya Durbha | Professor, CSRE, IIT Mumbai Emaild id: [email protected], Phone No: 8369258956 |
SR. NO | Name of the Company | SR. NO | Name of the Company |
---|---|---|---|
1 | AMDOCS | 18 | Vodafone |
2 | Tech Mahindra | 19 | Webtech Developer |
3 | TATA Consultancy Services Ltd. | 20 | Reliance Jio |
4 | Infosys | 21 | Atos- Syntel |
5 | AMAZON | 22 | Excelsior Research Pvt. Ltd. |
6 | Inteliment Technologies | 23 | Extramarks Education India Pvt. Ltd. |
7 | Prototech Solution | 24 | JARO Education> |
8 | Capegemini | 25 | Sanveo |
9 | RSL Labs Software | 26 | ITC InfoTech |
10 | Dassault Systems | 27 | BUZIBRAINS |
11 | Demand Farm | 28 | Findability Sciences Pvt. Ltd. |
12 | TAVISCA Solution Pvt. Ltd. | 29 | Jones Lang LaSalle Incorporated or JLL |
13 | Wipro | 30 | PinClick |
14 | Kanerika Software Pvt. Ltd. | 31 | Steinmetz Integrated Software Solutions |
15 | Aurus Inc | 32 | Growth NEST Venture Capital |
16 | SAMSUNG R & D | 33 | Dhoot Transmissions Pvt. Ltd. |
17 | HSBC India | 34 | DIP Technologies |
Dr. Sharvari Tamane
Dr. Parminder Dhingra
Vijaya Ahire
Sangita Bhasme
Ansari Mohsin
Madhuri Kawarkhe
Yogesh Tayade
Mayur Jadhav
Mr. Jaykumar Dhage
Shaikh Farisa Tarannum
Pratima Sukre
Dr. Ayyakkannu Selvaraj
Rashmi Kumaria Nitwane
Deepika Dubey
Aditi Jadhav
Mrs. Vrushali S. Bidkar
Ms. Pramila Vasantrao kharat
Dr.Minakshi R. Rajput
Mr. Bharat K. Chaudhari
Mrs. M. P. Gangapurwala
Mrs. Swati G. Gupta
Mrs. Jyoti Vithal Ighare
Ms.Mayuri Laxman Padghan
Mr. Jayanand Ambadas Kamble
Ms. Sushma Balaji Adsul
Description: This Laboratory is used by students for carrying out practical’s related to Python Programming, Database Management System, Universal Human Values, Design of Algorithm & Analysis etc.
Laboratory Resources (Equipment):
Hardware: 12th Gen Intel Core i5-12500 3.00 GHz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software: Windows 10, Python, Jupiter Notebook, Oracle/My Sql, Turbo C/Code Blocks, MS Office etc.
Description: This Laboratory is used by students for carrying out practical’s related to Python Programming, Neural Network Design Logic, Database Management System, Universal Human Values, multiple Variable Calculus, Mini Project etc.
Laboratory Resources (Equipment):
Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (40 Nos.)
Software:Windows 10, Python, Jupitor Notebook, Oracle/My Sql, Turbo C, Code Blocks, Anconda, Spyder, Google Collab, cuDNN, Visual Studio.
Description:This Laboratory is used by students for carrying out practical’s related to Multiple Varible calculus, Universal Human Values, Python Programming, IOT, Mini Project etc.
Laboratory Resources (Equipment):
Hardware:12th Gen Intel Core i5-12500 3.00 Ghz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software:Windows 10, Python, Jupitor Notebook, Oracle/My Sql, Turbo C, Code Blocks, IOT Kits.
Description:This Laboratory is used by students for carrying out practical’s related to Data Structures using JAVA, Multiple Variable Calculus, Python, IOT, Mini Project etc.
Laboratory Resources (Equipment):
Hardware:12th Gen Intel Core i5-12500 3.00 Ghz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software:Windows 10, Turbo C, Code Blocks. JAVA, Visual Studio, Python, MS Office etc.
Description:TThis Laboratory is used by students for carrying out practical’s related to Digital Image Processing, Data Structures using Java, Machine Learning Algorithms, etc.
Laboratory Resources (Equipment):
Hardware:12th Gen Intel Core i5-12500 3.00 GHz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software:Windows 10, Python, Jupiter Notebook, Matlab etc.
Description:This Laboratory is used by students for carrying out practical’s related to Digital Logic Design, Universal Human Values etc.
Laboratory Resources (Equipment):
Hardware:Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (05 Nos.),STLD KITS (04 Nos.)
Software:Simulators