Introduction to cloud - Cloud Architecture - Cloud Components: Public, Private and Hybrid Cloud - Introduction of AI Cloud Services - AWS - Google AI - Azure AI - AI with Cloud - Identity and Access Management – Role - Policies.

Cloud Architectures for AI/ML Workloads - GPU and TPU Acceleration - Scalable Storage Solutions for AI: S3 - BigQuery - High-Performance Computing (HPC) - Cost Optimization Strategies for AI.

SageMaker - EC2: GPU Instances - S3: for data storage - Cloud AI Platform - Cloud Vision API - Natural Language API - Compute Engine with GPU Support - Cloud Storage

Data Ingestion and Transformation - Data Sources - Databases – APIs - Streaming - Data Cleaning and Preprocessing - Data Pipelines and ETL/ELT Processes - Data Storage and Management - Cloud Data Warehouses – Snowflake - Redshift - Data Lakes: AWS S3 - Azure Data Lake Storage - NoSQL Databases: MongoDB - Cassandra

Model Deployment and Monitoring - Continuous Integration/Continuous Delivery (CI/CD) for ML - Model Versioning and Tracking - Model Performance Monitoring and Drift Detection - Model Retraining and Updates - AI/ML Governance and Security