The widespread adoption of Artificial Intelligence (AI) across various domains, such as healthcare, finance, and facial recognition, raises significant concerns regarding the privacy of sensitive user data. Indeed, AI services are often operated by third-party providers, requiring access to user data for processing, which exposes user information to potential privacy breaches. Recent data protection regulations, such as GDPR, further emphasize the need for privacy-preserving AI technologies. Fully Homomorphic Encryption (FHE) offers a promising solution by enabling arbitrary computation on encrypted data without requiring decryption. This property enables the development of privacy-preserving AI solutions, where service providers can process encrypted user data and return encrypted predictions, which users can decrypt using a private key, thus ensuring end-to-end data privacy.