Building a Foundation in AI

 

While I've already spent a fair amount of time experimenting with AI, I recently completed OpenAI Academy's AI Foundations course.

Much of the material reinforced concepts I had already begun exploring on my own, but that was exactly the reason for taking it. Before diving further into areas such as automation, local models, and security research, I wanted to ensure my understanding was built on a solid foundation rather than assumptions.

Artificial Intelligence feels very similar to the early growth of the Internet or the evolution of search engines. At first, they were interesting technologies that few people fully understood. Over time, they became fundamental tools that changed nearly every industry. AI is following a similar path, with organizations rapidly adapting it into products, workflows, and everyday operations.

Whether you're excited about AI or skeptical of it, its influence on technology is difficult to ignore. Understanding the fundamentals—what these models are, where they're effective, where they fall short, and how they should be applied—is becoming just as important as understanding the technologies that came before them.

For me, this course wasn't about earning a certificate. It was about taking the time to strengthen the basics before continuing to explore a field that's evolving faster than almost anything else in technology.