Start by understanding how IT actually works in real life, not by jumping into random tutorials or “top languages” content. Most beginner content online is either selling courses or made for people who already work in IT, so it can actually confuse and demotivate you. Instead, focus on getting a basic picture of what developers actually do, what roles exist, and how work is organized. Don’t overthink choosing the “perfect” language or roadmap. The main idea is that almost all programming languages are similar in difficulty in practice, so your first choice is not that important. You will switch and adapt anyway over time. What matters more is picking something with real job demand, not something rare or “cool” but useless for getting hired. Before deep studying, understand the environment: you will need a working computer, basic tools, and awareness that most work is routine, not glamorous hacking. Programming is closer to office work than movies meetings, tasks, fixes, and gradual improvements, not genius-level math all day. The key foundation (“base”) is more important than memorizing frameworks. This includes understanding basics like algorithms, data structures, databases (relational and non-relational), networking, operating systems, Git, Linux, and general computer science ideas. You don’t need to master everything at once, but you should build this while learning your main stack. A very important part is using resources like university-style materials, methodical practice, and structured exercises instead of only random videos or hype courses. These often give clearer fundamentals than modern “quick start” content. Neural networks and search tools are part of learning now. You’re expected to use them, but not to blindly generate code instead, use them to explain concepts, solve confusion, and speed up learning. At the same time, practice is what connects everything. Just reading or watching is not enough. Real understanding comes when you repeatedly work through tasks, see what breaks, and fix it. Later, you should also understand how companies work, what jobs exist (smaller companies vs big tech), and that hiring is based more on practical ability, communication, and basic English than on diplomas or formal education. English matters because most knowledge, tools, and solutions exist in it, even if you don’t use it directly at work often. Finally, the process is: learn basics + choose a practical direction + study real materials + practice consistently + use tools like Git/Linux/AI in real situations + prepare for interviews by simulating them and reviewing mistakes.

And most importantly: expect it to take time (months, not days), expect confusion at the start, and expect that you will learn gradually while actually doing the work, not just consuming information.

Good luck! and don't listen to those people who thinks that ai will take our jobs..it's just absurd.