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Software testing (QA) is a classic entry ticket into IT without any programming experience required. A tester needs attention to detail, logic, and the ability to document bugs - not coding skills. A lot of companies hire junior-level people from testing schools or even self-taught folks with a portfolio. The second option is tech support and support engineer roles, where communication skills and the ability to troubleshoot problems are valued. Third is working with data: analysts, junior analysts, data entry specialists. The key here is being able to work with spreadsheets, understanding process logic, and sometimes needing basic SQL skills.

There are also more unconventional paths: UX/UI design (if you have at least some design skills), content management, website administration on ready-made platforms like WordPress. Front-end development doesn't always require deep experience either, as long as you put a few real projects on GitHub that you built on courses or on your own. The main thing here is not to wait until you finish a year-long course, but to start building your portfolio in parallel and apply for jobs. Recruiters pay attention to the skills you demonstrate, not the years listed on your resume.

As of 2026, the situation is roughly the same as before: competition for junior positions is high, but that's exactly where you can get in without experience if you prepare deliberately. Choose a direction based on your interests, learn, do projects, engage in communities, and apply to every suitable job opening - even if they ask for a year of experience and you have zero. Sometimes they'll take you.

I'll back up the QA point, but I'd also look at tech support and analytics. Tech support often hires without experience - you just need to be good at communicating and knowing how to Google, the rest they'll teach you on the job. Analytics is also realistic for beginners if you're solid with Excel and logic - lots of companies are looking for junior analysts specifically because it's easier to train them than to retrain an experienced programmer to think about data differently.

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