Learn about AI/ML

Amazon SageMaker is a fully managed service that data scientists and developers use to quickly build, train, and deploy machine learning models.

Amazon Comprehend is a natural-language processing (NLP) service that you can use to extract valuable insights and connections from text.

Amazon Bedrock is a fully managed service that offers leading foundation models (FMs) and a set of tools to quickly build and scale generative AI applications. The service also helps ensure privacy and security.

Learn how to use Amazon Personalize to build a personalized product experience for your customers.

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents and goes beyond optical character recognition to identify and extract data from forms and tables.

Amazon Kendra is a natural language search service that uses machine learning for improved accuracy in search results and the ability to search unstructured data.

This course gives a high-level overview of Amazon Q, a generative artificial intelligence (AI) powered assistant.

Grow your technical skills and learn how to apply machine learning (ML), artificial intelligence (AI), and deep learning (DL) to unlock new insights and value in your role.

This learning plan is designed to introduce Amazon Q, the most capable generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data. Amazon Q has several products that will empower employees, including IT administrators, software developers, and knowledge workers to be more creative, data-driven, and productive in their roles. You’ll learn about the use cases and the benefits of linking Amazon Q to your company information, code, and systems.

Learn to leverage the power of generative AI on the AWS. Through immersive simulations and 23 hands-on lab exercises.

Learn about best practices and recommendations for machine learning (ML), explore how to roadmap for integrating ML into your business processes, the requirements to determine if ML is the appropriate solution to a business problem, and what components are needed for a successful organizational adoption of ML.

Adopt and scale artificial intelligence and machine learning with AWS Partner Training.