# random


08/31/2022, 7:31 PM
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. --- 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 - 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: The application itself is the only basis for selection, and therefore is slightly onerous. Fellowship brochure for more details: Check here