After 21 years at Oracle, including a decade working with one of our largest customers, I noticed a frustrating pattern.
Cloud certifications were everywhere. AWS, Azure, GCP, Kubernetes, there seemed to be a new badge every other month. Developers were passing exams, filling up their LinkedIn profiles with shiny new certs, and companies were using them as proof of skill.
But when those same developers were asked to design or deploy real infrastructure, things often fell apart.
This gap between credentials and capability is what finally pushed me out of big tech and into building something new. But before I get into that, let’s talk about why cloud education feels broken, and how we can fix it.
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The Current State of Cloud Education
Certifications dominate the industry.
- Companies rely on them to benchmark skills.
- Developers chase them to improve job prospects.
- Training providers optimize around helping people pass exams.
On paper, it makes sense. Certifications are a standardized way to validate knowledge. But there’s a flaw: most certifications measure memorization, not mastery.
You learn to pick the right answer in a multiple-choice test. But deploying a global-scale system, troubleshooting production issues, or optimizing costs in the real world? That requires a very different kind of skillset.
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Memorization vs. Mastery
Here’s the heart of the problem:
Memorization = You know what a VPC is, and you can answer questions about its components.
Mastery = You can design a secure, multi-region VPC, deploy services into it, and debug connectivity issues at 2 a.m. when production is down.
Certifications almost always test the first, not the second.
I’ve seen developers ace certification exams but freeze when asked to build something end-to-end. They weren’t failing because they weren’t smart, they were failing because they hadn’t had the chance to learn by building.
And that’s not their fault. The system is optimized for quick credentials, not deep, hands-on practice.
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The Cost of the Gap
This gap between certifications and real skills has consequences:
For developers: frustration, imposter syndrome, and the feeling of being “certified but unprepared.”
For organizations: slower cloud adoption, stalled projects, and expensive mistakes. Research suggests Cloud skills gaps are expected to cost the global tech industry $5.5 trillion by 2026.
• For the industry as a whole: a workforce optimized for test-taking instead of problem-solving.
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What Needs to Change
Cloud education needs to move beyond static slides and rote memorization. Developers don’t just need to know the cloud, they need to be able to do the cloud.
That means:
- Visual learning: Clear diagrams that show how components interact.
Interactive learning: Hands-on labs where you can experiment safely.
Real-world context: Scenarios that mimic actual production environments, not sanitized quiz questions.
When developers learn in this way, they build confidence — not just credentials.
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A New Approach
This frustration with the status quo is what finally pushed me to leave Oracle after two decades and pursue something new.
I founded Canvas Cloud AI with a simple mission:
👉 Transform cloud education from memorization to mastery.
Instead of cramming facts for exams, we’re building an AI-powered, visual, and interactive learning platform where developers:
Deploy real applications.
Design real architectures.
Solve real challenges.
Because the future of cloud education shouldn’t be about collecting badges. It should be about building the skills that power modern, multi-cloud infrastructure.
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Closing Thoughts
Cloud certifications aren’t going away. They’ll remain useful for signaling knowledge. But they can’t be the end goal. Real learning happens when developers learn by building, not memorizing.
That’s the future I believe in, and the one I’m dedicating this next chapter of my career to creating.
Now I’d love to hear from you:
👉 What’s been your biggest gap between certification prep and real-world cloud work?
If this resonates with you, check out Canvas Cloud AI — it’s free to try, and we’re just getting started.
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✍️ Thanks for reading. I’ll be sharing more lessons from 21 years in big tech and my journey building Canvas Cloud AI here on Dev.to. Follow along if you’re interested in cloud, AI, and developer education.
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