Begin with Solid Foundations : Excel in mathematics basics such as linear algebra, calculus, and probability to ensure success in AI research.Acquire Programming Languages : Learn Python first; it is a requirement for developing and testing AI models.Familiarize Yourself with Basic AI Concepts : Learn about machine learning, deep learning, neural networks, and natural language processing in depth.Get a Relevant Degree : Follow computer science, data science, or AI-specific programs from established universities or sites.Learn Online AI Courses : Join free or paid courses from sites such as Coursera, edX, or DeepLearning.AI.Develop Hands-On Projects : Develop actual AI applications — image recognition, chatbots, or predictive models to get hands-on experience.Open Source Contribution : Participate in GitHub projects, Kaggle competitions, or research groups to work and get discovered.Read Research Papers regularly : Keep yourself updated with arXiv, Google Scholar, and AI conferences such as NeurIPS or ICML.Target Internships or Research Positions : Get applied in AI labs, startups, or institutions to get industry-level research exposure.Read More Stories .Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp