Generative AI relies on several powerful programming tools and libraries to build models that create text, images, music, and more. Python is the most widely used language due to its simplicity and vast ecosystem. Popular libraries include TensorFlow and PyTorch for deep learning, along with Hugging Face Transformers for working with pre-trained models. For image generation, tools like OpenCV and Stable Diffusion are commonly used. Jupyter Notebook is often preferred for experimentation and visualization. These tools together support the development of creative and intelligent applications. Mastery of these libraries is essential for those pursuing a Generative AI Course with Placement.