Here are some basic steps and resources to get started in the world of Artificial Intelligence programming, particularly using Python:

1. **Learn the basics of Python programming.** This includes learning about variables, data types, functions, conditional statements, and loops. There are many great resources available online and in libraries to help you learn Python.
2. **Learn about the different types of AI.** There are many different types of AI, including machine learning, natural language processing, and computer vision. Each type of AI has its own strengths and weaknesses, so it's important to understand the different options before you start building your own AI projects.
3. **Learn about the different Python libraries for AI.** There are many Python libraries that can be used for AI programming. Some of the most popular libraries include NumPy, SciPy, Scikit-Learn, and TensorFlow. These libraries provide a variety of tools and functions that can be used to build AI models.
4. **Start building your own AI projects.** The best way to learn AI programming is by doing. Start by building small, simple AI projects. As you gain experience, you can start building more complex projects.

Here are some specific projects or tutorials that I would recommend for someone new to AI programming:

* **The Python for Data Science Handbook:** This book provides a comprehensive introduction to Python programming for data science. It includes a chapter on AI programming that covers the basics of machine learning and natural language processing.
* **The TensorFlow Tutorial:** This tutorial provides a step-by-step guide to building a simple machine learning model using TensorFlow.
* **The Scikit-Learn Tutorial:** This tutorial provides a step-by-step guide to building a simple machine learning model using Scikit-Learn.
* **The Natural Language Processing with Python Tutorial:** This tutorial provides a step-by-step guide to building a simple natural language processing model using Python.

I hope this helps!
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