I have a degree in Information and Communication Technology, but most of the coursework covered only basic programming and introductory concepts. I still struggle to code independently and solve problems. With AI becoming more capable, I'm also finding it difficult to stay motivated because I worry programming jobs may disappear.
I'm considering learning Python, but I'm unsure what "going deeper" actually involves. I've seen people recommend data structures and algorithms, as well as practice sites like LeetCode, while others say those topics aren't enough to prepare for a real job. I also understand that simple projects such as calculators are useful for beginners but probably won't impress employers by themselves.
What should I focus on to develop genuine programming ability, build useful projects, and eventually become employable?
5 Answers
The first step is accepting that there isn’t a shortcut. Pick Python, start with manageable problems, and practice consistently instead of waiting until you feel motivated. You don’t need to know everything before applying for jobs, and employers may use a different language from the one you studied. A big part of software work is learning unfamiliar tools and figuring things out as you go.
Strong programming comes from three areas: understanding data, knowing how your tools work, and being able to break difficult problems into smaller ones. Study existing code, reverse-engineer projects, and pay attention to why a solution works instead of merely copying it. LeetCode can help train problem-solving, but practical development and learning how to maintain code are equally important.
Data structures and algorithms are worth studying because they improve your problem-solving ability and are common in technical interviews, but practice problems alone won’t make you job-ready. Combine them with clean coding, design patterns, testing, reusable components, databases, version control, and at least one practical application. Build projects that solve a real problem, even if they start small, and keep improving them rather than collecting dozens of toy programs.
AI is a tool, not a replacement for understanding. Someone who cannot program will have trouble checking whether AI-generated code is correct, secure, or maintainable. Learn the fundamentals well enough to design solutions, debug errors, and judge the code you receive. Those skills become more valuable, not less, when automation is involved.
Think in terms of a structured learning path. Begin with Python fundamentals, then learn functions, modules, object-oriented programming, exceptions, testing, files, databases, and basic web or API development. Build something useful at each stage, such as a small service, automation tool, or application that stores and retrieves data. A roadmap can help you see the sequence without trying to learn every technology at once.
A structured roadmap helped me because it showed which topics belonged together and stopped me from jumping randomly between technologies.
The point about needing to understand the tool before relying on it makes sense. I hadn’t looked at AI that way before.