Yes, you can definitely teach yourself AI. Many people have successfully learned AI on their own using online resources.

Here’s how you can start…

Start with the Basics

• Math & Statistics – A solid understanding of math, especially linear algebra, calculus, and probability, is crucial for AI. You can find many online courses in these subjects to get up to speed.
• Programming – Python is the primary language used in AI, so start learning Python if you haven’t already. It’s beginner-friendly and widely used in AI projects.

Free Online Resources

• Coursera – Offers courses from top universities (e.g., Andrew Ng’s Machine Learning course is a great starting point).
• edX – Provides AI-related courses from institutions like MIT and Harvard.
• Kaggle – A platform for data science and AI learning. It provides datasets, tutorials, and competitions to practice.
• YouTube – Channels like 3Blue1Brown, Sentdex, and Siraj Raval offer clear explanations of AI concepts.

Learn Core AI Concepts

• Machine Learning – Understand supervised and unsupervised learning, classification, regression, and clustering.
• Deep Learning – Dive into neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), and frameworks like TensorFlow and PyTorch.
• Natural Language Processing (NLP) – Learn how AI understands and generates human language (useful for applications like chatbots and language models).

Practical Projects

• Build small projects to apply what you learn (e.g., image recognition models, chatbots, recommendation systems). Kaggle competitions are a good place to practice and learn from others.

Join Communities

• Reddit – Subreddits like r/MachineLearning and r/LearnMachineLearning offer discussions, resources, and advice.
• Stack Overflow – A great place to ask technical questions and get help from AI enthusiasts and professionals.

While self-teaching AI is challenging, it’s absolutely possible with dedication, practice, and the wealth of resources available.