Opportunity to learn MLOps LIVE with Harvard Professor.
Dr Pavlos Protopapas, [
Scientific Program Director at the Institute for Applied Computational Science (IACS) at
Harvard University], is offering a
fellowship program at
Univ.AI in NLP, GANs and Reinforcement Learning, and MLOps to a small group of advanced learners in data science and AI around the world. Dr Pavlos Protopapas with his team will lead the fellowship.
Next Fellowship: [MLOps] - starting on 3rd September.
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Geoffrey Hinton Fellowship Highlights (Inaugurated by Geoffrey Hinton himself!)
Topics - NLP, GANs and Reinforcement Learning, MLOps
Duration - LIVE, online. 6-8 weeks
Faculty - Dr Pavlos Protopapas | Scientific Program Director at the IACS at Harvard University
Commitment - 2 hours a day 2 days a week + assignments and project
Timings for Live sessions* (*subject to change with prior notice)
Schedule - Weekend class/weekday office hours
Classes - Saturday [ 11:00 AM - 01:00 PM EST ] [ 8:00 AM - 10:00 AM PST ]
Office hours - Tuesday [ 11:30 AM - 12:30 PM EST ] [ 8:30 AM - 10:30 AM PST ]
Cost of attending the fellowship - ZERO* (*It is a fellowship), we charge a tiny processing fee of USD-100 for the 8-week LIVE program toward processing cost.
Prerequisites - Note that ordinarily MLOps is the terminal course of a 6-course program in Data Science & AI at
Univ.AI - the prerequisites are significant. We do require that you have a prior background in ML & AI. Prerequisites here -
https://welcome.univ.ai/courses/ai5/
What do you get being a part of the Geoffrey Hinton Fellowship?
1. Mentored preparation for top global careers.
2. 2 times every week for 8 weeks of fun & high engagement with peers from reputed institutions & organizations.
3. Participation in
Univ.AI's global placement system for employment opportunities worldwide (predominantly US).
4. Interactions with top faculty and professionals during guest sessions.
Upcoming Fellowship - [MLOps] - starting on 3rd September.
The application is open now:
To Apply fill out this form:
https://forms.gle/KBVxXVDAwzRdYxph9
The application itself is the only basis for selection, and therefore is slightly onerous.
Fellowship brochure for more details:
Check here