About the Program
The Value-Added Program (VAP) on College-to-Corporate Transition is designed to bridge the gap between academic learning and professional workplace expectations. It equips students with essential skills, industry insights, and corporate readiness strategies to ensure a smooth transition into their careers. The program emphasizes communication, problem-solving, teamwork, leadership, and adaptability, while also focusing on practical aspects such as interview preparation, corporate etiquette, and real-world case studies. By integrating academic knowledge with employability skills, this program helps students build confidence, align with industry standards, and successfully adapt to the dynamic corporate environment.
Objectives of the Program
- To develop domain-specific knowledge and understand their integration with modern business practices.
- To introduce participants to industry-relevant technology trends, focusing on data-driven decision-making through Visualization, Data Analytics, and Generative AI.
- To provide hands-on exposure to tools and technologies (Power BI, Python, SQL) with an emphasis on implementation best practices and product engineering workflows.
- To enhance employability skills through structured placement preparation, including technical assessments, mock interviews, and a culminating hackathon.
Expected Outcomes of the Program
- Participants will be able to analyse real-world case studies, identifying key business processes, challenges, and technology enablers.
- Participants will be able to design and interpret interactive dashboards and analytical reports using Power BI and Python, and apply Generative AI tools to create business content and insights.
- Participants will be able to build scalable data pipelines and implement analytical solutions adhering to industry standards, and demonstrate product design thinking through simulated project scenarios.
- Participants will be able to demonstrate job readiness by clearing mock assessments, showcasing team-based coding solutions in a hackathon, and delivering professional product demos and presentations.
Target Audience: 7th Semester AIML & CSE(DS)
Committee Members
- Dr. C. K. Marigowda, Principal, AIT
- Dr. Vijayashekhar S.S, Associate Professor and Head, Department of Artificial Intelligence and Machine Learning, AIT
- Mr. Jovin Deglus, Department of Artificial Intelligence and Machine Learning, AIT
- Dr. Kavitha Nair R, Department of Artificial Intelligence and Machine Learning, AIT
Resource Person Details
Mr. Preeth Mathew Zachariah & Team
Designation : Vice President, VOIS-DAIS