OpenNashPodcasts

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Ramin Mohammadi

1 episodes · 18 quoted claims

Ramin Mohammadi says Harvard Business Review called data science the sexiest job of the 21st century in 2012, which sparked a gold rush of university programs.

“it was about like a decade, decade ago, back in 2012, uh, Harvard Business Review, they called data science is the sexiest job of 21st century.”

Practical AI · 0:02:48

Ramin Mohammadi says universities rapidly launched master's programs after the data science hype, promising employability after learning some machine learning.

“Universities were spinning up the new master programs overnight, and the promise was pretty simple get a degree and learn a little bit of machine learning, and you're set, you're instantly employable.”

Practical AI · 0:03:24

Ramin Mohammadi says entry-level AI job postings often require about three years of experience.

“We we see job posting for entry level, you know, that that job requires about three years of experience.”

Practical AI · 0:03:54

Ramin Mohammadi says Google Cloud's Rules of MLOps laid out that successful machine learning needs real engineering practices such as containerization, CI/CD automation and monitoring.

“Some resources like, uh, Google Cloud, Rules of ML Ops, you know, it. It re laid out these new realities that successful ML needs a whole suit of real engineering escapes.”

Practical AI · 0:05:57

Ramin Mohammadi says the generative AI explosion around 2023 is visible in the Stanford AI Index and acted as an automation event hitting entry-level work.

“And that becomes like, around 2023 explosion that you can see in the A Stanford AI Index.”

Practical AI · 0:06:55

Ramin Mohammadi cites a study from OpenAI and the University of Pennsylvania on task exposure to large language models, concluding repeatable junior tasks are highly vulnerable to automation.

“there was this study, uh, from OpenAI and University of and, uh, of Pennsylvan, Pennsylvania, uh, that they look at this task exposure to large language model”

Practical AI · 0:08:49

Ramin Mohammadi says he used to hire many interns but hires fewer since the AI shift, because AI now handles those tasks.

“For example, I used to hire lots of interns, uh, to basically help with the development and speed up the process. And since AI shift, to be honest, I just don't use AI for all of those tasks”

Practical AI · 0:09:51

Ramin Mohammadi paraphrases a recent post by Andrew Ng arguing education must shift toward practical skills, saying knowledge is great but skills are greater.

“there was this new post, uh, by Andrew Ng recently that he argued, Um, this urgent shift in the education, and I'm going to paraphrasing what he said. He said, knowledge is great, but skills are greater.”

Practical AI · 0:13:59

Ramin Mohammadi cites a recent MIT study saying about 70 percent of AI PhDs skip academia and go directly to industry.

“Basically, they say that the uh. Right now, about 70 of the AI PhDs are just skipping academia and go to job market, go to basically industry directly, and that's a huge brain drain for the universities”

Practical AI · 0:15:01

Ramin Mohammadi cites a statistic that 96 percent of major state-of-the-art AI systems come from industry labs rather than universities.

“Like, 96 of the major state of arts systems comes from industry labs, not from universities anymore.”

Practical AI · 0:15:01

Ramin Mohammadi says his Northeastern MLOps class has roughly 150 to 270 students per semester.

“every semester, right now we have about 150, 270 students within one class, like a huge classroom.”

Practical AI · 0:20:30

In Ramin Mohammadi's course, student teams spend a full semester building one real product in a domain they choose, such as healthcare, finance, sport or robotics.

“Then, as a team, they spend the entire semester on building one real product, and this real product. It's not just homework assignment, it's not a toy example”

Practical AI · 0:20:30

Ramin Mohammadi says the course's MLOps Expo was partnered with Google and scheduled for December 12 at Google's campus in Boston.

“this year, for example, uh, we partnered with Google, uh, so we are hosting on, um, in two weeks, December 12th, at Google Main, Uh campus in Boston”

Practical AI · 0:21:10

In Ramin Mohammadi's survey, about 60 percent of his students said they take online courses on top of their schooling.

“which is 60, basically of the of the students. They said that they are taking online courses on top of what they are taking in in the school.”

Practical AI · 0:29:06

In Ramin Mohammadi's survey, about 82 percent of students said they take part in hackathons to learn to build quickly.

“another question 82 of the students say that they are participating in hackathons in order to learn to how to quickly to build.”

Practical AI · 0:29:31

Ramin Mohammadi says Google provides cloud credits for his MLOps course every semester so students can build real systems.

“they give us lots of credits for our ML Ops course every semester. Because, uh, our students, they can't otherwise build anything in a real world.”

Practical AI · 0:30:35

Ramin Mohammadi says Northeastern's Khoury College of Computer Science is updating its curriculum in 2026 with more practical courses and ethics woven into coding.

“Northeastern, Khoury College of Computer Science. Um, the as of this year, basically, 2026, they're updating their curriculums finally”

Practical AI · 0:35:25

Ramin Mohammadi says he bought a Reachy Mini desktop robot, expected to arrive in early January, and plans to build apps in a simulator beforehand.

“Recently purchased the Reachy Mini by Arm.”

Practical AI · 0:42:13