If you’re trying to break into cybersecurity and feel overwhelmed by certifications, bootcamps, and conflicting advice—this is the path I would take starting from zero after 25+ years in IT.
🎥 Watch the full breakdown here:
If you’re trying to get into IT or cybersecurity today, you’re going to find an overwhelming amount of advice.
Bootcamps. Certifications. Courses. “Fast tracks.” Endless tools.
But after 25+ years in this field, I can tell you something very simple:
You don’t need all of that to start. You need a foundation.
If you want a simple way to start building these skills, here are a few tools that align with this path. You don’t need everything—start small and build over time.
👉 Raspberry Pi 4 Model B Starter Kit
👉 CompTIA A+ Certification All-in-One Exam Guide
👉 CompTIA Network+ Certification All-in-One Exam Guide
Cybersecurity isn’t a single discipline. It’s a layered system of skills that build on each other:
Hardware understanding
Operating systems
Networking
Scripting and logic
Security concepts
If you skip the foundation, you don’t accelerate—you create gaps.
And those gaps always show up later in real-world environments.
When you skip the foundation, you don’t move faster—you create gaps in understanding that show up later in real environments.
Understanding grows when you start seeing systems instead of individual tools.
If I had to start over today, I would begin with something simple:
An old laptop or desktop
Install Linux (Ubuntu is a solid starting point)
Learn command line basics
Focus on understanding:
how files work
how processes run
how users interact with systems
This is not flashy—but it is foundational.
And it applies everywhere:
Windows, Linux, macOS—it doesn’t matter.
Arduino is one of the best entry points into understanding how software interacts with physical systems. It forces you to work with inputs, outputs, and real logic flow.
One of the best entry points into real technical thinking is Arduino.
Arduino teaches you:
inputs and outputs
logic flow
hardware-level interaction
how software controls physical systems
You don’t just read about it—you build it.
A good starting point is a simple beginner kit that lets you experiment immediately:
This kind of hands-on setup helps bridge the gap between theory and real system behavior.
A simple Raspberry Pi setup gives you everything you need to start experimenting immediately without needing expensive equipment or a full lab.
After Arduino, I would move into Raspberry Pi.
Now you’re working with:
operating systems
networking
services
system-level thinking
This is where you start to see how everything connects.
👉 Example kit:
Raspberry Pi 4 Model B Starter Kit
It bridges hardware and software into one environment.
This type of setup allows you to install Linux-based systems, explore networking concepts, and start building real functional projects.
If something doesn’t make sense—slow down and revisit it.
Because this is where your foundation is built.
👉 Beginner study resource:
CompTIA A+ Certification All-in-One Exam Guide
CompTIA Network+ Certification All-in-One Exam Guide
CompTIA Security+ Certification All-in-One Exam Guide
Using a structured resource like this can help guide your learning—but it should support hands-on experience, not replace it.
Certifications like:
CompTIA A+
Network+
Security+
are valuable—but only when they support a foundation, not replace it.
I’ve seen people memorize certifications, pass exams, and still struggle in real environments.
Because memorization is not understanding.
A certification should structure knowledge you already have—not substitute it.
We are now in a time where AI can:
write resumes
generate code
produce polished outputs
Which creates a new challenge:
Everyone can look skilled on paper.
But real skill is still built through:
repetition
troubleshooting
hands-on systems work
understanding fundamentals
Without that foundation, AI becomes a crutch—not a tool.
AI Amplifies Output—Not Understanding
Artificial intelligence can generate results faster than ever before—but it does not replace the need to understand what those results mean.
The real advantage moving forward will belong to those who can interpret, adapt, and build on what AI produces—not just those who use it.
You don’t prove skill by saying it.
You prove it by:
building things
documenting work
showing understanding
explaining systems clearly
That is what stands out today.
Real Skill Is Demonstrated, Not Claimed
Documenting your work and sharing your understanding on LinkedIn is one of the most effective ways to stand apart.
When you consistently show what you’re building, learning, and solving, you move beyond telling people what you know—you prove it.
If I had to start over today, I would keep it simple:
Old computer
Linux
Arduino
Raspberry Pi
That’s it.
No rushing. No skipping steps.
Just steady learning.
Cybersecurity is not about knowing everything.
It’s about understanding how everything connects.
Once you start seeing systems instead of tools, everything changes.
And that only comes from building a foundation first.
If you’re starting out in IT or cybersecurity, focus on building fundamentals first. Everything else becomes easier after that.
This article was written by Douglas E. Fessler. The ideas and reflections are my own, drawing on decades of experience in IT, environmental monitoring, STEM education, and community initiatives. AI-assisted tools were used to structure and clarify complex concepts — a reflection, in itself, of the subject explored. Some links in this article may be affiliate links, which help support this work at no additional cost to you.