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To begin learning AI, you can start by adopting a "learning by doing" approach using the Hugging Face ecosystem, which simplifies the machine learning workflow into four intuitive steps [2]. First, you should clearly define your problem—such as text classification or image recognition—and find suitable training data using open-source datasets [2]. Next, you can choose from hundreds of thousands of pre-trained models (like BERT or GPT) rather than designing a neural network from scratch [2]. From there, you can write minimal code to fine-tune the model on your dataset using the `Trainer` API, and finally deploy your model as an interactive web interface using Gradio or Streamlit on Hugging Face Spaces [2].