Preparing for the NVIDIA-Certified Associate: AI Infrastructure and Operations Exam

I am a new one to the AI field, and this year I decided that this is a time to sharpen my skills. One of the pillars of AI is infrastructure, which is somewhat different from the traditional one used for running typical applications and virtual machines.

I started with the NVIDIA technologies and solutions as the leader in a modern AI infrastructure. NVIDIA provides a lot of training materials, documentation, and certifications on its technologies. It looks like a good way to start, because I believe that the best way to learn is by pursuing the certification.

Recently I completed the NVIDIA-Certified Associate: AI Infrastructure and Operations certification, and in this post, I want to share the materials I used to successfully pass the exam.

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Free Red Hat AI Foundations courses

As you know, AI is everywhere now. We all know we’ll be here in a moment, whether you’re using it or just planned to.

I love to share knowledge, and in this short post I want to share what I found: Red Hat AI Foundations courses.

There are two paths:
1. Executive: all those AI basics and terminology. Want to know what the difference between AI and ML is? What is GenAI? Start right here;
2. Technologist: You will learn about Red Hat AI products and especially the flagship – the Red Hat OpenShift AI platform.

Finishing those learning paths, you will receive Credly badges. To get information about what you should complete, use “Check your status” at the bottom of each learning path.

I highly recommend finishing the executive path as a minimum, especially since it’s free. And if you’re an active RHEL and OpenShift user, consider pursuing the technologist path.

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