//Abstract

Salwa shared her perspective on how FourthBrain and all learners can keep their education strategy fresh enough for the current zeitgeist. Furthermore, Salwa, Demetrios, and Vishnu talked about principles of effective learning that are important to keep in mind while embarking on any educational journey.  

This was a great conversation with a lot of practical tips that we hope you all listen to!

// Bio

Salwa Nur Muhammad is the Founder/CEO of FourthBrain, an AI/ML education startup backed by Andrew Ng's AI Fund. FourthBrain trains Machine Learning engineers through a hybrid 2-3 month cohort-based programs that combine accountability of weekly instructor-led live sessions with the flexibility of online content.

Salwa founded FourthBrain after executive leadership roles at Udacity and Trilogy Education Services (acquired by 2U Inc).   

She has over 10 years of experience leveraging technology to develop scalable education programs at higher-ed institutions and ed-tech companies, building new business units, launching international programs, and hiring and training cross-functional teams.

// Relevant Links

https://www.fourthbrain.ai/

--------------- ✌️Connect With Us ✌️ -------------

Join our slack community: https://go.mlops.community/slack

Follow us on Twitter: @mlopscommunity

Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/

Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/

Connect with Salwa on LinkedIn: https://www.linkedin.com/in/salwanur/

Timestamps:

[00:00] Introduction to Salwa Muhammad

[01:20] Salwa's journey in tech

[05:30] Advice to new ML engineers

[10:21] Curriculum development process

[17:36] FourthBrain's current status and what's next

[21:53] Hardest piece in the course

[24:49] Knowing the right job in a role confused world

[30:05] Needing to upskill without going insane

[35:10] Generalist vs Specialist on T-shaped Analogy

[41:15] Counseling learners in terms of long-term progression

[43:00] MLOps trajectories recommendation