Getting started with AI and Machine Learning (ML) involves building a foundation in programming, mathematics, and statistics, followed by hands-on practice with real-world projects. Begin by learning Python, as it's the most commonly used language in AI/ML. Familiarize yourself with key concepts like algorithms, data structures, linear algebra, and probability. Online courses, tutorials, and books are great starting points. Institutes like PyNet Labs offer specialized training in AI and ML, providing structured courses that cover essential topics and tools such as TensorFlow, Scikit-learn, and PyTorch. After grasping the basics, practice by working on datasets, building models, and refining your skills through projects and challenges to gain practical experience.

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