Show Notes
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race to offer AI training programs, how can professionals know which certifications matter — and which ones might be outdated before you even finish them?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
More from Today in Tech
Companies have spent billions racing to adopt artificial intelligence. But as AI moves from experimentation into production, are businesses discovering that the real costs are much higher than expected?
AI agents are moving beyond simple chatbots and isolated tasks. The next step is agent-to-agent communication, where AI systems operated by different companies could negotiate, exchange information, make decisions and even conduct business with each other.
AI was supposed to save us time. Instead, it may be creating a new problem: AI slop (polished-looking emails, reports, presentations, research and code that someone else has to review, fact-check and fix).
AI tools such as ChatGPT, Claude and Copilot are spreading rapidly through the workplace, but simply giving employees access to AI isn't the same as teaching them how to use it effectively.
Hackers are using AI, social engineering, and legitimate business tools to make cyberattacks look like normal work. Instead of breaking through security systems, they study how employees communicate, impersonate trusted vendors, manipulate email conversations, and exploit everyday business processes.