AI and Machine Learning

Cloud Computing for AI

Cloud computing provides scalable, on-demand infrastructure to accelerate AI model development, training, and deployment. It supports high-performance computing, distributed storage, GPU/TPU acceleration, and AI-as-a-Service platforms, enabling real-time analytics and large-scale enterprise applications. Cloud-native AI architectures facilitate global collaboration, while MLOps integration ensures continuous model deployment, monitoring, and lifecycle management. Leading platforms like Amazon Web Services, Microsoft Azure, and Google Cloud drive innovation with managed AI services and hybrid cloud solutions.

• Security, Privacy & Responsible AI in the Cloud
• AI-as-a-Service (AIaaS) Platforms
• MLOps & Model Lifecycle Management
• Edge-Cloud Integration