How to Become an AI Engineer (Roadmap for Nepali Students)
Python, maths, machine learning, projects and portfolio - the honest AI engineer path.
By DigitalNepal · Updated 2026-10-04
AI engineers combine software skills with ML fundamentals. The path takes 12-24 months of consistent work - shortcuts don't exist, but the roadmap is clear.
Steps
1Master Python deeply
Beyond basics: OOP, APIs, pandas, Git. Build 5+ projects before touching ML.
2Learn the maths that matters
Linear algebra basics, probability, statistics. Learn alongside code, not as pure theory.
3Do ML then deep learning
Scikit-learn projects first, then neural nets with PyTorch/TensorFlow on real datasets.
4Ship 3 portfolio projects
Nepali-context projects (Nepali text classifier, load-shedding predictor) stand out more than Iris datasets.
Good to know: Kaggle Learn + one good course beats ten half-finished courses. Finish things.
FAQ
Need a master's degree?
Helpful, not required. Portfolio and skills open most industry doors.
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