Master AI & ML

Python is the most popular language for AI and machine learning. It has extensive libraries like TensorFlow, PyTorch, and scikit-learn. For production systems, you might also need Java, C++, or JavaScript.

You'll need a solid understanding of linear algebra, calculus, probability, and statistics. However, you can start learning ML without deep mathematical knowledge and gradually build your math skills as you progress.

AI is the broadest concept of machines performing tasks intelligently. Machine Learning is a subset of AI where systems learn from data. Deep Learning is a subset of ML using neural networks with multiple layers.

Start by experimenting with ChatGPT or Claude. Learn about prompt patterns, context setting, and iterative refinement. Study examples, take online courses, and practice writing clear, specific prompts for different use cases.

Fast.ai offers excellent free courses. Stanford's CS229 lectures are on YouTube. Google's Machine Learning Crash Course is free. Hugging Face has great NLP tutorials. This website also curates hundreds of free resources!

With dedicated study (10-15 hours/week), you can learn the basics in 3-6 months. Becoming proficient takes 1-2 years. Mastery is a continuous journey as the field evolves rapidly. Start with foundational courses and build practical projects.