A comprehensive guide to becoming a AIML Engineer, step-by-step learning path, courses, tools, and project ideas.
Master Python and programming basics
Build the mathematical foundation required for ML
Learn to process, clean, analyze and visualize data
Master the core machine learning algorithms and concepts
Understand and implement neural network architectures
Learn to deploy and maintain ML systems in production
Explore specialized domains within AI/ML