To start learning Artificial Intelligence (AI), here are some steps you can take:



Learn programming: AI relies heavily on programming, so it's important to have a strong foundation in at least one programming language. Python is a popular language for AI and machine learning.


Study math and statistics: AI involves a lot of math and statistics, so it's important to have a good understanding of these subjects. Linear algebra, calculus, and probability theory are particularly important.


Take online courses: There are many online courses available that cover AI concepts for beginners. Some popular ones are Coursera, edX, and Udacity.


Read books: There are several excellent books available that cover AI concepts. Some popular ones are "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig, and "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron.


Practice: AI is a field that requires a lot of practice. Build your own projects and participate in online communities to get feedback and improve your skills.


Regarding research work in the field of AI, it is possible to get involved in research if you have a strong background in math, computer science, and programming. You can start by reading research papers, attending conferences, and getting involved in open-source projects.


There are many open-source AI projects available where you can contribute. Some popular ones are TensorFlow, PyTorch, and Keras. You can contribute to these projects by submitting bug reports, fixing issues, and adding new features. Additionally, there are many online communities where you can connect with other AI enthusiasts and get involved in collaborative projects.


Remember, learning AI is a journey, and it takes time and effort to become proficient in it. Start with the basics and build your knowledge gradually. Good luck!