AWS Machine Learning Competency Partners

Data processing such as ingestion, consolidation, removal of duplicate records, imputation of missing values, scaling/normalization of values, elimination of correlated features, feature engineering, and others.

No and low-code platforms for machine learning, usually with a predominantly visual interface, that enable end-to-end model development.

High-code solutions, RESTful API, GraphQL, and algorithms that provide access to trained models and components used to train models.

AWS ML Competency Partners have demonstrated expertise in helping organizations solve the most challenging problems in AI, including data engineering, data science, machine and deep learning, and production deployment for inference at scale.

Development, deployment, and maintenance of ML applications that positively impact customer business outcomes and add value on top of AWS services, in particular AWS AI Services, to solve specific customer needs.

Continuous integration and continuous deployment solutions for ML models over the entire data lifecycle including data lake creation, automated data preprocessing across data services, deployment in the cloud, and machine-learning-specific rules and processes for model redeployment.

Connect with AWS Specialization Partners with global expertise in Partner Solutions Finder.

Empower your organization with business, technical, marketing, funding support and resources to help you build, market, and sell with AWS.