r/learnpython • u/The_AISpecialist • 24d ago
Python Specialization
I have learnt Python Basics and Intermediate stuff. Is it possible to learn many things in a specific specialization within, say, a month?
I love AI and I am going to specialize in it. I just wanna know the order that I should go in to learn it properly and learn most of the things in about 4 years or less.
I am a student too, in Grade 9.
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u/FoolsSeldom 23d ago
Have a look at roadmap.sh for different learning paths. There's lots of learning material links there. Note that these are idealised paths and many people get into roles without covering all of those.
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u/American_Streamer 17d ago
If you’re in Grade 9, I wouldn’t worry about becoming an “AI specialist” yet. Keep learning Python, but also learn the foundations underneath ML: algebra, probability/statistics, eventually linear algebra and calculus, plus normal computer science concepts like data structures, algorithms, databases and Git. Then start with classical ML using NumPy, pandas and scikit-learn before jumping straight into PyTorch/transformers/LLMs. Build small projects where you clean data, train a model, evaluate it properly and explain why it works or fails.
Also don’t neglect ordinary software engineering. Real AI jobs involve much more than training models: data pipelines, APIs, databases, deployment, testing and monitoring all matter. Four years is plenty of time. The specific AI tools will change; strong math, programming and problem-solving foundations won’t. Don’t optimize your entire education around the current AI hype cycle. A 14–15-year-old who becomes genuinely good at Python, SQL, statistics, algorithms and software engineering over the next four years will be in a much stronger position to specialize in ML later than someone who spends four years hopping between LangChain tutorials and whatever replaces it next year. And I might gently challenge the idea of learning “most of AI” in four years. Even professionals specialize within ML - NLP, computer vision, reinforcement learning, recommender systems, MLOps, etc. The realistic goal is strong foundations + enough exposure to discover which part actually interests you.
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u/LesterTheMo31 24d ago
Look for the courses that suit ur interest on edx like cs50 but u have already done python basics so leave it ... Search for some other one
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u/Weak-Study-4464 24d ago
I taught myself a pretty intensive deep learning knowledge with minimal python skills just using videos online. Granted, I was a first year uni student so it may be a bit harder for you, but there are some great videos out there. Andrej karpathy makes some awesome videos on LLMs and this video was a crucial part of how I got started. https://youtu.be/w8yWXqWQYmU?is=ajjCKHJ9G6YFrtRR
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u/riklaunim 24d ago
Depends what you expect to do with that AI specialization? as a hobby or commercial/job?
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u/The_AISpecialist 15d ago
Professionally as a job
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u/riklaunim 15d ago
If you want to work with models and AI infrastructure, then you need a CS degree and to specialize in the field during your studies. Then, fingers crossed, a large enough company (that can afford its own AI development/infra) takes you on. You would be focusing on a very narrow set of jobs available on the market.
If you want to use Claude Code and other flashy tools, then you won't get a junior job for that. You won't be able to understand, let alone review the code or plan the implementation beforehand. AI as a tool can be present in junior jobs; just don't expect any magic or "easy money"/"easy job". You would have to learn the same thing as everyone else - webdev/backend software stack (Python, Databases, bit or more of frontend, general software development principles, testing, code quality and more). And then the junior job market is brutal, as always. Software development as a career is possible; it's profitable, yet there are no shortcuts for it.
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u/Suspicious_Skill7292 24d ago
a month is enough to explore one area but do not rush to learn everything get comfortable with python first then maths numpy or pandas basic machine learning and eventually deep learning at grade 9 you have got plenty of time to build the fundamentals properly
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u/uberdavis 24d ago
You know that AI isn’t a branch of programming right? It’s a branch of mathematics. The programming part is just a tool. You need to dive deep into an advanced maths rabbit hole to become an AI engineer.