World Model · podcast knowledge graph

The AI engineer skills gap

2025-12-10 · 46 min · episode 340 · 6 entities

episode page audio

Asserted relationships

  • → hosted by Daniel Whitenack and Chris Benson person
    0.55
    evidence rules-v5
    Feed author/publisher: Daniel Whitenack and Chris Benson
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • → hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC

Entities found in this episode

companys 4

  • mentioned Practical AI LLC company
    0.70
    evidence rules-v5
    Feed author/publisher: Practical AI LLC
  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC

persons 2

Episode description as stored
Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge.  Featuring: Ramin Mohammadi – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack – Website , GitHub , X Sponsors: Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalai Upcoming Events:  Register for upcoming webinars here !