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In this episode of Today in Tech, host Keith Shaw is joined by Sydnee Mayers, Product Lead for AI at Cribl, to explore the fast-growing world of AI certifications. As tech companies, cloud providers, and universities race to offer AI training programs, how can professionals know which certifications matter — and which ones might be outdated before you even finish them?
We break down:
The explosion of AI certifications post-ChatGPT
The most popular programs (Microsoft, Amazon, Google, Andrew Ng)
Why developer skills don’t always translate to working with AI
The difference between a “course” and a real certification
How employers actually view AI certs in hiring decisions
The skills (like prompt engineering) that still aren’t being formally taught
The lack of certifications for non-technical roles (sales, marketing)
Why AI certifications may never become standardized — and what to do instead
By Foundry3.4
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In this episode of Today in Tech, host Keith Shaw is joined by Sydnee Mayers, Product Lead for AI at Cribl, to explore the fast-growing world of AI certifications. As tech companies, cloud providers, and universities race to offer AI training programs, how can professionals know which certifications matter — and which ones might be outdated before you even finish them?
We break down:
The explosion of AI certifications post-ChatGPT
The most popular programs (Microsoft, Amazon, Google, Andrew Ng)
Why developer skills don’t always translate to working with AI
The difference between a “course” and a real certification
How employers actually view AI certs in hiring decisions
The skills (like prompt engineering) that still aren’t being formally taught
The lack of certifications for non-technical roles (sales, marketing)
Why AI certifications may never become standardized — and what to do instead

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