A few years ago, when someone said they wanted to enter tech, the conversation quickly became:
"Learn how to code."
Today, that answer feels incomplete.
Artificial intelligence is changing the way software is built, businesses operate and people work. At the same time, Nigeria is putting more attention on digital literacy and technical talent. NITDA's current capacity-building programmes cover areas including software development, UI/UX, data analysis, data science, AI/machine learning, cybersecurity, cloud computing and DevOps.
So the question for a young person in Awka, Enugu, Aba, Owerri or elsewhere in Southeast Nigeria is no longer simply:
"What tech skill should I learn?"
It is becoming:
"What can I learn that will still be useful as technology changes?"
Don't run away from the fundamentals There is a temptation to jump straight into AI because it is the hottest thing right now.
I understand it.
Nobody wants to spend months learning something only to discover that the industry has moved on.
But there is a problem with chasing every new technology.
You end up knowing the names of many tools without really understanding what you are doing.
Someone who understands programming can learn new AI-assisted development tools.
Someone who understands design can learn how AI is changing product design.
Someone who understands data can learn new AI-powered analysis tools.
The foundation still matters.
This is where local tech training becomes interesting In places like Awka, the conversation around technology training is becoming broader.
It is no longer only about learning one programming language.
TEKHUB [https://tekhub.ng/], for example, operates as a physical technology-training community in Awka, Anambra, where learners can develop practical digital skills.
The bigger point is that people entering technology need opportunities to practise, build projects and receive feedback rather than simply collect certificates.
Whether it is software development, UI/UX, data science or AI, practical ability matters.
AI should become a tool, not your entire identity You don't necessarily have to become an AI engineer.
A web developer can use AI to speed up parts of development.
A designer can use AI during ideation.
A marketer can use it for research and content workflows.
A data analyst can use AI-assisted tools to explore information faster.
But you still need to know when the tool is wrong.
That's the part people sometimes overlook.
AI can generate an answer very quickly.
Understanding whether that answer makes sense is still a human responsibility.
What should someone in Southeast Nigeria learn? There isn't one answer for everyone.
A student who enjoys mathematics might explore data science or machine learning.
Someone who enjoys building websites could start with software development.
Someone interested in visual problem-solving could explore UI/UX.
Another person might prefer cybersecurity, cloud computing or digital marketing.
The important thing is to stop thinking that "tech" is one career.
It is a huge collection of different skills.
The opportunity is bigger than the hype Nigeria's National AI Strategy recognises the importance of building technical talent and says the country needs skills not only in AI but also in areas such as interaction design, communication, innovation management and other supporting capabilities.
That is an important point.
The future won't only need people who can build AI models.
It will also need people who can design products, understand users, manage technology, work with data and turn technical ideas into useful solutions.
So if you're sitting in Awka, Enugu, Aba or Owerri wondering whether you are already late to tech, I wouldn't start by worrying about the latest tool.
Start with the fundamentals.
Learn something properly.
Build things.
Break things.
Fix them.
Then learn how AI can make you better at what you already understand. Many institutions in Awka including TEKHUB (https://tekhub.ng/) offer robust AI training.
For those of you learning tech in the Southeast, what skill are you currently learning, and has AI changed the way you approach it?
