Learn Python thoroughly
Build strong math foundations in linear algebra, calculus, probability, and statistics
Study data structures and algorithms
Learn machine learning fundamentals
Learn deep learning fundamentals
Practice with TensorFlow, PyTorch, and scikit-learn
Work with data cleaning, preprocessing, and feature engineering
Learn SQL and database basics
Study model evaluation, tuning, and validation
Learn deployment basics with APIs, Docker, and cloud platforms
Understand MLOps, CI/CD, monitoring, and version control
Build real projects and a portfolio
Participate in Kaggle competitions
Read research papers and follow AI trends
Learn prompt engineering and LLM basics
Gain experience through internships, freelance work, or open-source contributions
Strengthen problem-solving and communication skills
Keep learning and updating your skills regularly