Department of Artificial Intelligence
Faculty of Science & Technology
Objective:
The program aimed to provide students with essential knowledge and hands-on experience in emerging technologies such as data science, cloud computing, artificial intelligence, and machine learning. It also sought to enhance practical problem-solving abilities by enabling students to work on real-world projects using IBM Watson Studio and related platforms. Furthermore, the program integrated practical exposure with academic learning to ensure students are aligned with current industry practices and technological trends. Ultimately, it aimed to prepare students to gain a competitive edge in the job market by equipping them with relevant skills, project-based experience, and exposure to widely used tools in the digital workforce.
Date: 12th Aug-14th Aug, 2025
Venue: VU Building No: 2, Room 2001A,2112, Vishwakarma University
Mode: Offline
Participants: Second Year students of Artificial Intelligence, Faculty of Science and Technology, Vishwakarma University, Pune.
Organizers:
- Organizing Chairperson
- Mr. Kiran Pawar, Deputy Director, Training & Placement Cell
- Conveners:
- Prof. (Dr.) Kailas Patil, Dean, Faculty of Science & Technology
- Prof. (Dr.) Sandip Thite, Associate Dean, Faculty of Science & Technology
- Co-Convener:
- Dr. Pavitha Nooji, Head, Department of Artificial Intelligence
- Faculty Coordinator:
- Prof. Mayuri Satpute, Department of Artificial Intelligence
Program Highlights:
The event was organized by the Training and Placement Cell in collaboration with the Department of Artificial Intelligence, Faculty of Science & Technology, Vishwakarma University.The session was conducted by Aditya Dambale and Yogesh Raje who guided students on The IBM SkillsBuild for College program provided students with access to the IBM Cloud platform, enabling them to gain hands-on experience with cloud-based applications widely used across industries. The training focused on emerging technologies such as data science, cloud computing, artificial intelligence, and machine learning, ensuring that students acquired knowledge in high-demand domains. A practical learning approach was adopted through a blend of online courses, interactive sessions, and real-world projects using IBM Watson Studio, which helped students strengthen their problem-solving and analytical skills.
Session Photos:
