This course introduces JAX, a high-performance numerical computation library. You'll learn how JAX extends NumPy's familiar API with key features like immutability, pure functions, automatic differentiation for gradient-based optimization, and just-in-time (JIT) compilation for significant speedups on accelerators like GPUs and TPUs.