Cloud Platforms

Build, train, and deploy ML models at scale using AWS SageMaker pipelines, endpoints, and built-in algorithms.

Leverage AWS Bedrock to build production generative AI applications using foundation models from Anthropic, Meta, and Amazon.

Design serverless ETL pipelines and modern data warehouses using AWS Glue, Redshift Serverless, and Lake Formation.

Build end-to-end ML pipelines and integrate OpenAI models into enterprise applications using Azure ML Studio.

Architect unified analytics solutions combining Synapse SQL pools, Spark pools, and globally distributed Cosmos DB.

Train, evaluate, and serve ML models using Vertex AI pipelines and BigQuery ML for in-warehouse machine learning.