The Vellore Institute of Technology (VIT), Bangalore, has established the Data Science and AI Program’ with the aim of helping the future generation of data scientists powered by AI. The program is intended to close the huge difference between demands and the availability of AI and machine-learning talent in India.
A press release released by the institute informed that this new program integrates open source libraries like Pandas, Matplotlib, and Gen AI modules, equipping middle- and early-job professionals with a thorough knowledge of AI as well as data science.
Addressing the Talent Gap
According to the NASSCOM’s State of Data Science & AI Skills in India report it is evident that there exists a significant 51 % gap in the demands and the supply of AI/machine-learning (ML) BDA tech talent in India. VIT Bangalore’s program is designed to fill the gap through providing specific instruction and education to professionals.
Programme Overview
The web-based Data Science and AI programme lasts for 16 weeks and was specially designed for professionals who are looking to collect a thorough understanding of Python as well as data science and the foundational understanding regarding machine learning, as well as on-demand AI applications.
Key Components:
- Python programming: Learning the fundamentals of Python Data structures, and libraries.
- Data Science Foundations Complete coverage for data manipulation visualisation and data analysis together Pandas as well as Matplotlib.
- Machine Learning Fundamentals: Introduction to machine learning theories, algorithms, and the applications.
- Generative AI Modules: Hands-on experience with Generative AI and its potential applications and the impact.
Target Audience
The program caters to young professionals, as well as mid-level managers looking to incorporate machines learning, data science and computational AI concepts in their projects. The dual emphasis ensures participants have the abilities required to succeed within a constantly evolving technological landscape.
For Early Professionals:
- Solid Understanding of Core Concepts: Python, data science, basic machine learning.
- Practical Application: Real-world scenarios and projects-based learning.
For Mid-Managers:
- advanced techniques: Applications of Data Science and AI concepts to business initiatives.
- Strategic Insights Making use of AI to make decisions and strategic strategy.
Empowering the Next Generation
The initiative of VIT Bangalore is one step towards addressing the increasing demand for competent AI as well as data science experts. Through the integration of important tools and concepts this program will equip participants with the understanding and the practical talent needed to excel on the job.
Conclusion
The VIT Bangalore’s “Data Science and AI Programme’ will be a key factor to shape the direction of AI and data science in India. The focus is on closing the gap in talent and offering an extensive education, the program is set to produce an entirely new generation of skilled AI data scientists who are ready to face the issues of today’s digital world.
FAQs
1. What’s the time frame of the VIT Bangalore’s Data Science and AI Programme?
The duration of the program is 16 weeks.
2. Who are the intended public for this program?
The program is designed to help young professionals who are seeking to procure a foundational understanding and managers who are looking to apply information science, data analytics and AI concepts in their work.
3. What topics will be addressed in the show?
The program includes Python programming as well as data science basics and machine learning fundamentals and advanced generative AI modules.
4. What is this program doing to help fill the deficit in AI as well as data science?
With a focus on instruction and education it is designed to close the gap in the availability of AI/machine-learning talent in India.
5. What benefits will it bring to middle-managers who participate in the program?
Mid-managers acquire the latest techniques in applying the data science approach and AI concepts to projects in the business as well as strategic insight to leverage AI for decision-making.