AI development leverages TensorFlow, PyTorch, and scikit-learn for machine learning, Hugging Face for NLP and LLMs, and cloud platforms including AWS SageMaker, Azure ML, and Google Cloud AI. MLOps tools like MLflow, Kubeflow, and DVC enable model versioning, deployment, and monitoring. We implement secure, scalable architectures using Docker, Kubernetes, and API-first designs.