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About
I wanted to get better at engineering. Not by hopping between tools, but by following one structured path until I could debug, review, and explain the work. Teaching what I understand is how I check whether I actually understood it.
I did not want another pile of bookmarks. I wanted a path I could finish: understand the tool, use it, break it, and be able to talk about what failed. Writing it down is part of that. If I cannot explain something clearly, I still need to learn it.
DevOps is where I am starting. The first plan is about four months — 120 days — of focused practice. AI can generate code and configs. Someone still has to review them, debug them, secure them, and run them. That someone needs the engineering underneath.
I am learning these technologies too, and I want to share what I understand along the way. I will try to help with doubts and debugging when the question shows real work. This is not a daily video course. I want people who will practise, analyse, and grow on their own — not people looking for a shortcut.
Practical explanations. Exercises. Debugging situations. Practice questions. Interview questions. Things I think are worth understanding. Daily material, added as it is ready. You still have to do your own analysis.
A clear 120-day DevOps plan, starting from the shell. Honesty about what is ready and what is still a title on the map. I want to focus on people who are genuinely willing to put in the work.
Not a certificate mill, and not a job guarantee. Later, if the material is genuinely strong, I may offer paid group training. That is not this site today.
After this DevOps foundation I want to teach AI, then AI agents. I will not put empty courses on the homepage to match the brand name. When those stages have real material, they will appear.
The current program is DevOps Engineer Mastery: 120 days · about 4 months.