1. Learn the basics of Python. This includes learning about variables, data types, functions, and control flow. 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. Once you have a basic understanding of the different types of AI, you can start to learn about the specific algorithms and techniques that are used in each type of AI.
3. Start building AI projects. The best way to learn AI programming is by doing. Start by building small AI projects that you can find online or in books. As you gain more experience, you can start to build more complex AI projects.

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

- The Python for Data Science Handbook by Jake VanderPlas. This book is a great introduction to Python for data science, which includes a section on AI.
- Machine Learning with Python by Sebastian Raschka. This book is a great introduction to machine learning using Python.
- Natural Language Processing with Python by Manning Publications. This book is a great introduction to natural language processing using Python.
- Computer Vision with Python by Packt Publishing. This book is a great introduction to computer vision using Python.
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