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
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.

Search for AWS Machine Learning Competency Partners by category
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.
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.

Additional Resources
Discover more AWS Machine Learning Competency Partner solutions and resources.
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General Resources
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Success Stories
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APN TV
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eBooks
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Blogs
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General Resources
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Maximizing Your Machine Learning Investment
Explore AWS Machine Learning Competency Partner eBooks, webinars, customer success stories, and more.
Machine Learning Foundations
Watch the on-demand webinars and discover how these technologies are essential for digital transformations.
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Success Stories
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Media & Entertainment
Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability
BelgiumLadbrokes.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.
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General Public Services
Wildlife-Centered AI: How AWS and Tehanu Use Generative AI to Give Wildlife a Voice in Global Conservation
RwandaThe 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.
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APN TV
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eBooks
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AI Solutions for Financial Services
Appen’s artificial intelligence (AI) experts explain how to identify and implement successful machine learning and AI initiatives.
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.
Weave AI Into Your Business
Learn how to prepare for, embed, and put AI into production quickly to solve complex business problems.
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.
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Blogs
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Mike George, 03/21/2025Fair Trade USA™ is a nonprofit organization that is committed to eliminating poverty by promoting sustainable development through ethical trade. They work to ensure fair compensation, safe working conditions for farmers and workers, and sustainable farming practices. In this post, you’ll learn how Fair Trade USA leverages Amazon Web Services (AWS) to improve working conditions for farmers and producers around the world.
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Tanner McRae, Murali Baktha, 03/20/2025This blog was co-authored by David Provan, Principal Architect, and Trey Pezzetti, Product Manager, PGA TOUR. Professional golf presents unique broadcasting challenges with tournaments featuring up to 144 players, competing across 100-150 acres, with 18 holes representing 18 fields of play. Over multiple days this can total over 10,000 shots captured daily. These challenges become [...]
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Ranjit Kalidasan, 03/21/2025Learn how to build a Generative AI assistant to simplify complex data analysis with Splunk, by converting conversational requests into optimized Splunk SPL queries for AWS security and operational logs. Built on Amazon Bedrock agents with integrated knowledge bases and action groups, this solution automatically executes queries and delivers actionable insights, democratizing access to powerful data analytics capabilities for security teams.
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Jasmine Rasheed Syed, Brad King, Joshua Amah, Joseph Mart, Suprakash Dutta, 03/21/2025Discover how to build a GenAI powered virtual IT troubleshooting assistant using Amazon Q Business. This innovative solution integrates with popular ITSM tools like ServiceNow, Atlassian Jira, and Confluence to streamline information retrieval and enhance collaboration across your organization. By harnessing the power of generative AI, this assistant can significantly boost operational efficiency and provide 24/7 support tailored to individual needs. Learn how to set up, configure, and leverage this solution to transform your enterprise information management.
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Erik Cordsen, Venkata Moparthi, Renu Yadav, 03/21/2025In this post, we explore how you can use these multi-modal generative AI models to streamline the management of technical documents. By extracting and structuring the key information from the source materials, the models can create a searchable knowledge base that allows you to quickly locate the data, formulas, and visualizations you need to support your work.
Next Steps
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