Running a business does not mean you stop learning. Cyber security certification, digital marketing courses, AI training — here is why I keep investing in my own education and what each chapter taught me.
There is a version of the business director who, once they have built something and established themselves, stops actively learning. They read industry news. They attend the occasional conference. But the deep work of studying something properly, sitting with material, doing assessments, building structured knowledge — that ends at some point.
I have never been able to do that.
Partly it is the technology industry’s fault. The pace of change is such that standing still is not neutral — it is falling behind. Something that was best practice three years ago may be actively wrong today. An AI tool that did not exist eighteen months ago is now core to how businesses operate. Cyber threats evolve on a timescale that makes annual education cycles look dangerously slow.
But partly it is just how I am wired. The same curiosity that had me pulling apart computers as a kid in the 90s has never really quietened. When something new arrives that matters, I want to understand it properly — not just enough to talk about it, but enough to use it, advise on it, and teach it to others.
These are some of the chapters in that ongoing education.
The Cyber Security Cert IV — Learning What I Thought I Already Knew
By the time I enrolled in a Certificate IV in Cyber Security, I had been working in IT for years. I knew the landscape. I understood the threat categories, the defence frameworks, the tooling. I could talk to clients about security in ways that clearly communicated the risks and the mitigations.
I enrolled anyway. Because knowing something practically and understanding it structurally are different things, and I suspected — correctly — that there were gaps in my structural understanding that I had been papering over with pattern recognition.
The formal study did exactly what I hoped. It filled in the gaps I had not fully acknowledged. It forced me to engage with frameworks and terminology at a level of precision that field experience does not always demand. And it gave me a credential that, in a sector where qualifications are often rightly scrutinised, signalled that the knowledge was not just claimed but verified.
But the more valuable outcome was a different one.
The course forced me to think about cyber security from a first-principles perspective — not “what tools do we use” but “what are we actually trying to achieve and why, and how do these controls serve those goals?” That question sounds basic but most practitioners, including experienced ones, cannot answer it cleanly. The pressure to deliver outcomes in client environments does not always leave room for first-principles thinking.
Returning to structured study created that room.
I came out of that certification a more confident adviser. Not because of the piece of paper — though that matters — but because I had been made to articulate and defend positions in writing, to demonstrate understanding rather than just claim it. That discipline improved the quality of advice I give clients today.
The SEO Course — Understanding the Digital Side of the Business
This one surprised some people in my orbit. An IT guy doing an SEO course. What is that about?
The honest answer: I had built a business that existed almost entirely offline. Our growth was referral-driven, relationship-driven, outbound. We were not generating meaningful inbound interest from our website. And as I started to understand the landscape better, I realised that for an IT company operating in a specific city, serving a specific size of business, SEO was potentially the highest-return marketing channel available to us.
But more than the commercial rationale, I was bothered by the gap in my knowledge. I run a technology business. Our clients ask us about their websites, their digital presence, their online visibility. And I was advising them on the basis of a surface-level understanding that I knew was inadequate.
So I studied it properly.
The course was not glamorous. It was a lot of technical detail — how search engines crawl and index, what signals affect ranking, how to structure content for both people and algorithms, how to think about keyword intent. It was unglamorous and methodical and I found it genuinely absorbing.
The outcome was twofold. Commercially, the investment in understanding SEO directly informed a content and visibility strategy that now generates meaningful inbound business. The articles on this site exist, in a direct line of causation, because I took the time to understand why they would matter.
But more broadly, it reinforced something I believe deeply: the leaders of technology businesses have to understand the full stack of how their business operates, not just the technical core. Marketing, finance, HR, legal — all of it. Delegating everything that falls outside your primary domain is a way of making yourself dependent and blind.
The AI Courses — Understanding What Everyone Is Claiming to Understand
In 2023 and 2024, AI became the thing everyone in the technology industry was suddenly an expert on.
Vendors announced AI-powered everything. Marketing emails arrived in waves describing transformative capabilities. Clients started asking questions that I had to answer carefully because the honest answer was often “it depends, and the details matter enormously.”
I invested heavily in structured AI education — multiple courses, a lot of hands-on practice with the actual tools, and deliberate engagement with the research and commentary that was serious rather than promotional.
What I found was a wide gap between the claims being made about AI and the reality of what it could and could not reliably do. The technology is genuinely significant. It is also genuinely limited in ways that the promotional literature glosses over. Knowing the difference — understanding where AI adds real value and where it produces confident-sounding nonsense — is the single most important thing a technology adviser can offer clients right now.
I see businesses making large commitments to AI tools on the basis of demonstrations that do not reflect real-world performance. I see security risks being introduced by AI deployments that were not properly evaluated. I see productivity gains being claimed that disappear when you account for the time spent reviewing and correcting AI output.
And I see the opposite too — businesses that are dismissing tools that would genuinely save them significant time and money because they heard about a bad experience or are waiting for the technology to mature.
Navigating that landscape for clients requires that I understand it properly myself. The AI education is ongoing — the field moves fast enough that it has to be — but the foundation of structured understanding that I built in that period of intensive learning is what makes the ongoing monitoring credible.
The Pattern Underneath All of It
If you look at the Cert IV, the SEO course, the AI training, and the various other things I have studied and continue to study, there is a pattern underneath all of it.
Each piece of learning was driven by an identified gap between what I knew and what I needed to know to serve clients and run the business properly. Not by a checklist of credentials to acquire or a LinkedIn profile to fill out. By the honest recognition that my current understanding was insufficient for what I was being asked to do.
That recognition — of the specific gap, of the specific inadequacy — is what makes the learning stick. You study differently when the knowledge is going directly into work you are doing. The case studies are not hypothetical. The frameworks are not abstract. Everything goes straight into application.
I think the directors and founders who stop learning do so because they have stopped asking whether their current understanding is adequate. They have accumulated enough credibility that the question feels unnecessary. The people who ask for proof of their expertise are junior enough to be dealt with.
That comfort is dangerous in a fast-moving industry. The technology landscape in 2026 is not the landscape of 2020 or 2016. The businesses that are navigating it well are led by people who are genuinely current, not people who were current ten years ago and have been running on that deposit since.
I intend to keep studying. There is always a gap between what I know and what I need to know, and I find that gap more motivating than daunting.
The day I stop finding it motivating is probably the day I should hand the business over to someone younger.
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