Mastering Applied Data Science & AI with IIT Roorkee


Starts at:
Saturday, August 31 @ 2:30 p.m. UTC
Ends at:
Saturday, August 31 @ 4:30 p.m. UTC

About the Event

Are you ready to crack the code to the future?

Join us for an exclusive masterclass where you'll dive deep into the heart of Data Science, Machine Learning, and AI. This exclusive program, curated by IIT Roorkee and facilitated by CloudxLab, offers a unique blend of academic excellence and industry insights.

Wrap up with an interactive Q&A session with Prof. Tharun Reddy (Assistant Professor at IIT Roorkee) and Sandeep Giri (Founder and CEO of CloudxLab), offering invaluable insights. Whether you're starting or advancing, this event equips you to thrive in the evolving landscapes of AI and Data Science. Don't miss this educational experience with IIT Roorkee and industry-leading experts.

Masterclass Overview:

  • Fundamental differences and applications of Data Science, Machine Learning, and AI
  • Potential career paths that open up with a strong foundation in Data Science and Machine Learning
  • Typical workflow of building Machine Learning model
  • Gain insights from distinguished mentors at IIT Roorkee
  • Learn from industry leaders, Prof. Tharun Reddy and Sandeep Giri, during an interactive Q&A session

This masterclass is designed for:

  • Working professionals seeking to upskill in data science and AI
  • Students aspiring to build a career in the data-driven industry
  • Data enthusiasts looking to deepen their understanding

Have your burning questions, doubts, and curiosity at the ready!

About Presenter

Prof. Tharun Reddy

Prof. Tharun Reddy

Faculty, ECE Dept IIT Roorkee

Prof. Tharun Kumar Reddy Bollu is a distinguished expert in Brain-Computer Interfaces (BCIs). Holding B.Tech, M.Tech, and Ph.D degrees from IIT Kanpur, he is currently an Assistant Professor at IIT Roorkee. With a strong foundation in Electrical Engineering and a deep-rooted passion for BCIs,

His expertise in these domains is reflected in her extensive body of work, which can be explored in his publications accessible through his GitHub profile: Link to Publications

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