Hey everyone! I'm looking for some advice on certifications and skills that are essential to thrive in the new AI landscape. I have experience in a lead technical position managing a data center with around 300 VMs, and I want to expand my skills to stay competitive as technology evolves, especially with AI advancements. I've held certifications like VCP, CEH, and ECES. With the rapid changes in our industry, especially regarding cyber security evolving into bot vs bot dynamics, I'm curious about what's next. Should I focus on areas like Kubernetes or cloud certifications? What training or certs should I pursue to transition into an AI infrastructure role and boost my earning potential?
2 Answers
I think infrastructure is critical for AI development. Without solid servers and networking in place, AI can't function properly. Focus on foundational skills in data engineering and pipelining. That’s where the demand is, as businesses need to gather and secure data for their AI models from multiple sources, both on-premises and in the cloud.
Given your background and existing certifications, you’re well-positioned to move into roles focused on AI security, or what some are calling MLSecOps. Companies are rapidly deploying large language models and really need help securing them. While traditional infrastructure certs are great, check out the 'Practical AI Security' course on 8kSec. I just wrapped mine up, and it gave me solid insights into what’s needed in this field. Consider layering AI security knowledge on top of your skills to stand out in the job market.
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