How to start learning AI programming ?

To start learning AI programming, you can follow these steps:

1. **Programming Fundamentals:** Begin by learning a programming language like Python, as it's widely used in AI development and has many libraries and tools for AI.

2. **Math Basics:** Familiarize yourself with essential math concepts like linear algebra, calculus, and probability, which are foundational for AI algorithms.

3. **Machine Learning:** Study machine learning concepts, including supervised and unsupervised learning, and popular algorithms like linear regression, decision trees, and neural networks.

4. **Online Courses & Tutorials:** Enroll in AI-specific online courses and tutorials, such as those offered by Coursera, Udemy, or edX, to gain structured knowledge and practical skills.

5. **Hands-On Projects:** Start working on AI projects to apply your learning. Use libraries like TensorFlow or PyTorch to implement machine learning models.

6. **Explore AI Libraries:** Experiment with AI libraries and frameworks that simplify AI development, such as scikit-learn for machine learning or OpenAI's GPT for language processing.

7. **Participate in Competitions:** Engage in AI competitions like Kaggle to challenge yourself and learn from experienced data scientists.

8. **Read Research Papers & Blogs:** Stay updated on the latest advancements in AI by reading research papers and following AI blogs and news outlets.

9. **Join AI Communities:** Join online forums and communities like Reddit's r/MachineLearning or Stack Overflow to ask questions, share knowledge, and connect with fellow learners.

10. **Continuous Learning:** AI is a rapidly evolving field, so make a habit of continuous learning and exploring new techniques and advancements.

Remember, learning AI programming requires dedication and practice, so don't get discouraged if things seem challenging at first. Keep practicing and building your skills, and you'll make progress over time.