VIT Bangalore Unveils Cutting-Edge Data Science and AI Programme
In the rapidly evolving domain of technology, the surge in AI-driven decision-making across diverse sectors underscores an urgent demand for proficient professionals adept at transforming vast datasets into valuable insights. Bridging the stark 51% gap between the burgeoning demand and the existing supply of AI and machine learning (ML) talent in India, as reported by NASSCOM, is imperative. Stepping up to this challenge, Vellore Institute of Technology (VIT), Bangalore, announces the launch of its pioneering Data Science and AI Programme.
This comprehensive 16-week online programme is meticulously crafted to cater to the educational needs of early-career professionals desiring a deep dive into Python, data science, foundational machine learning, and generative AI concepts. It also targets mid-level managers eager to integrate these competencies into their data science, ML, and AI projects, thereby equipping them with the essential skills to excel in the rapidly progressing digital landscape.
VIT’s initiative seeks to sculpt proficient AI-powered data scientists by seamlessly integrating open-source libraries such as Pandas and Matplotlib into the curriculum. Participants will not only master Python, an indispensable language in today’s industry but also acquire proficiency in AI techniques and machine learning algorithms, empowering them to address real-world dilemmas and leverage the immense potential of data effectively.
The burgeoning demand for data science professionals is evident, with the job market in this sphere witnessing a 34% increase for individuals boasting two to five years of experience, as per the 2023 Analytics and Data Science Jobs report. Moreover, predictions by Grand View Research anticipate the global AI market to reach unparalleled heights by 2030, further emphasizing the escalating need for data science expertise. The programme offered by VIT Bangalore melds theoretical knowledge with practical application, concentrating on skills and tools that are highly relevant in the industry today.
[INSERT_image]Course Highlights and Benefits
The Data Science and AI Programme comprises in-depth modules covering machine learning algorithms, supervised and unsupervised learning, and time series analysis. Crafted and delivered by VIT Bangalore’s distinguished faculty, the programme includes recorded and live sessions, an industry-centric curriculum, interactive Jupyter notebook exercises, real-world case studies, and engaging interactive masterclasses on Generative AI. Priced at INR 50,000 plus applicable taxes, the course is an accessible option for many aspiring professionals.
Enrollees will benefit from:
- An exhaustive understanding of Python and its utility in data science and ML
- The capability to manipulate and visualize data to derive actionable insights
- Insights into diverse machine learning techniques and their applications
- Hands-on experience with tools and frameworks in industry-specific scenarios
- A deep dive into Generative AI, exploring GANs, VAEs, and synthetic data generation
- Practical skills in Python functions, data science packages, data analysis, data visualization, and exploratory data analysis (EDA)
Scheduled to commence on September 30, 2024, the programme concludes with the awarding of a certificate of completion from VIT Bangalore to participants who achieve a minimum grade of 70%. This initiative not only paves the way for aspiring data scientists to gain a foothold in AI and machine learning but also ensures they are well-equipped to contribute meaningfully to the technology-driven world.
In light of the aforementioned details, it’s clear that VIT Bangalore’s Data Science and AI Programme is a significant step towards nurturing the next generation of data science professionals equipped to tackle the challenges of the future. As industries increasingly rely on data-driven decision-making, the value of programs like these cannot be overstamped, making it a crucial investment for aspiring professionals in the field.
