AWS Machine Learning Competency Partners

Drive innovation and unlock greater business value with AWS Specialization Partners that have deep technical knowledge and proven customer success

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AWS Machine Learning Competency Partners have demonstrated expertise delivering machine learning (ML) solutions on the AWS Cloud. These partners offer a range of services and technologies to help you create intelligent solutions for your business, from enabling data science workflows to enhancing applications with machine intelligence.

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Search for AWS Machine Learning Competency Partners by category

Data Services

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.

Platform Solutions

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

SaaS and API Solutions

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

Services

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.

Applied AI

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.

Machine Learning Operations

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 Machine Learning Competency Partners

Drive innovation, meet business objectives, and get the most out of your AWS services by partnering with technically validated AWS Partners.

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Additional Resources

Discover more AWS Machine Learning Competency Partner solutions and resources.

  • General Resources

  • Maximizing Your Machine Learning Investment

    Explore AWS Machine Learning Competency Partner eBooks, webinars, customer success stories, and more.

    View the AWS Machine Learning Partner Resources »

    Machine Learning Foundations

    Watch the on-demand webinars and discover how these technologies are essential for digital transformations.

    View AWS Machine Learning Partner Foundations »

  • Success Stories
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    • Media & Entertainment

      Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability

      Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability

      Belgium

      Ladbrokes.live, a provider of streaming sports entertainment content operating in Belgium, was grappling with critical challenges that hindered their ability to attract and retain users. Partnering with AWS Partner, Cloudar—also based in Belgium—the company transitioned to a cloud-native architecture powered by Amazon Web Services (AWS) technologies. This transformation enabled Ladbrokes.live to deliver a seamless, personalized user experience featuring avatars that can be customized to deliver information and statistics relevant to the viewers’ interests, in their language of choice. The solution also helped Ladbrokes.live optimize operational costs and set the stage for continuous innovation in a highly competitive industry.

      2025

    • General Public Services

      Wildlife-Centered AI: How AWS and Tehanu Use Generative AI to Give Wildlife a Voice in Global Conservation

      Wildlife-Centered AI: How AWS and Tehanu Use Generative AI to Give Wildlife a Voice in Global Conservation

      Rwanda

      The Tehanu project in Rwanda’s Volcanoes National Park has demonstrated groundbreaking use of generative AI to infer and act on the interests of mountain gorillas. Leveraging technology solutions from Amazon Web Services (AWS), AWS Partner Anthropic, and with the support of AWS Partner Adastra, Tehanu created an automated pipeline to process behavioral data of gorillas, enabling the first-ever digital financial transactions by a non-human species. The AI solution synthesized vast academic and observational data, aligning conservation actions with species-specific preferences while supporting biodiversity efforts. This scalable, innovative approach sets a precedent for using AI to foster coexistence across species worldwide.

      2025

    • Education

      Indian Institute of Hotel Management Streamlines Hospitality Recruitment and Enhances Education with AWS AI-Driven Innovations

      Indian Institute of Hotel Management Streamlines Hospitality Recruitment and Enhances Education with AWS AI-Driven Innovations

      India
      2025
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  • APN TV
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  • eBooks

  • AI Solutions for Financial Services

    Appen’s artificial intelligence (AI) experts explain how to identify and implement successful machine learning and AI initiatives.

    View the eBook »

    Machine Learning Within Reach

    Learn how to connect with Amazon SageMaker to develop, test, and deploy machine models at scale and take advantage of cost-effective, pay-as-you-go pricing.

    View the eBook »

    Weave AI Into Your Business

    Learn how to prepare for, embed, and put AI into production quickly to solve complex business problems.

    View the eBook »

    Mining Your Data Lake for Analytics Insights

    Learn about using Delta Lake on Databricks and AWS to prepare and deliver data that drives valuable analytics insights.

    View the eBook »

  • Blogs
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    • AWS to showcase healthcare breakthroughs at HIMSS25 in Las Vegas
      Caroline Kelley, Jennifer Rouse, Shalini Sharma, 02/25/2025
      Amazon Web Services (AWS) is heading to Las Vegas, NV for the upcoming HIMSS 2025 Global Health Conference & Exhibition, March 2-6, 2025. In alignment with the event theme, “creating tomorrow’s health,” the AWS for Healthcare team will showcase this commitment with compelling demonstrations, discussions, and speaking sessions. Our goal is to help organizations leverage [...]
    • AWS Weekly Roundup: Anthropic Claude 3.7, JAWS Days, cross-account access, and more (March 3, 2025)
      Veliswa Boya, 03/03/2025
      I have fond memories of the time I built an application live at the AWS GenAI Loft London last September. AWS GenAI Lofts are back in locations such as San Francisco, Berlin, and more, to continue providing collaborative spaces and immersive experiences for startups and developers. Find a loft near you for hands-on access to [...]
    • Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available
      Danilo Poccia, 03/03/2025
      Amazon Bedrock Data Automation streamlines the extraction of valuable insights from unstructured multimodal content (documents, images, audio, and videos) by providing a simplified way to build intelligent document processing and media analysis solutions, while offering both standard and custom output configurations through blueprints.
    • Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
      Elizabeth Fuentes, 12/04/2024
      Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
    • How Volkswagen and AWS built end-to-end MLOps for Digital Production Platform
      Gabriel Zylka, Chandana Keswarkar, Sandro Zangiacomi, 03/03/2025
      Background In 2019, Volkswagen AG (VW) and Amazon Web Services (AWS) formed a strategic collaboration to develop the Digital Production Platform (DPP), designed to enhance VW production and logistics efficiency by up to 30 percent while reducing production costs by the same margin. The DPP streamlines data access from VW shop-floor devices and manufacturing systems, [...]

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