Craving an intro to building and deploying commercially successful Generative A.I. applications? In today's episode, superstar data-science instructors Kirill and Hadelin (>5 million students between them) will fill you in!

Kirill Eremenko is one of our two guests today. He's:

Founder and CEO of SuperDataScience, an e-learning platform.
Founded the SuperDataScience Podcast in 2016 and hosted the show until he passed me the reins four years ago.

Our second guest is Hadelin de Ponteves:

Was a data engineer at Google before becoming a content creator.
In 2020, took a break from Data Science content to produce and star in a Bollywood film featuring "Miss Universe" Harnaaz Sandhu.

Together, Kirill and Hadelin:

Have created dozens of data science courses; they are the most popular data science instructors on the Udemy platform, with over five million students between them!
They also co-founded CloudWolf, an education platform for quickly mastering Amazon Web Services (AWS) certification.
And, in today’s episode, they announce (for the first time anywhere!) another (brand-new) venture they co-founded together.

Today’s episode is intended for anyone who’s interested in real-world, commercial applications of Generative A.I. — a technical background is not required.

In today’s episode, Kirill and Hadelin detail:

What generative A.I. models like Large Language Models are and how they fit within the broader category of “Foundation Models”.
The 12 crucial factors to consider when selecting a foundation model for a given application in your organization.
The 8 steps to ensuring foundation models are deployed commercially successfully.
Many real-world examples of how companies are customizing A.I. models quickly and at remarkably low cost.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.