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This comprehensive chapter delves into the fascinating world of AI development environments, comparing them to cooking kitchens where your unique AI recipes come to life. Highlighting the critical role they play in writing, testing, debugging, and deploying AI models, the chapter navigates through popular environments like Jupyter Notebooks, Google Colab, PyCharm, RStudio, and Visual Studio Code. This serves as an exploration of these platforms’ unique advantages, leading up to a guide on how to choose the right one based on language support, project size, collaboration needs, hardware requirements, and personal preference. For anyone involved in AI and Machine Learning, this is a must-read, offering valuable insights to optimize your development process.