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This credential earner demonstrates knowledge of machine learning foundational concepts such as the roles of math and statistics, Python and its libraries, and machine learning algorithms. The individual has conceptual understanding of machine applications and can differentiate between supervised, unsupervised, and reinforcement learning.

This course introduces you to basic machine learning concepts and the machine process the data goes through. We explore each step in the machine learning process in detail and explain some of the common terms and techniques that occur during a…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

A Learning Plan pulls together training content for a particular role or solutions, and organizes those assets from foundational to advanced. User Learning Plans as a starting point to discover training that matters to you. This learning plan is…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

In this digital learning experience, you will learn the importance of maintaining an SAP clean core when integrating with Amazon Web Services (AWS). You will also explore the capabilities to modernize SAP applications using AWS. The course covers…

This credential earner has applied proficiency in NLP and its role in language understanding, sentiment analysis, and advanced text generation. The individual demonstrated their knowledge on how NLP systems are designed to interpret human language, extract sentiments from textual data, as well as practical experience in NLP techniques and models. The learner is familiar with the skills required for success in a related job role.

With Amazon SageMaker Canvas, data and business analysts can prepare data, train, and deploy machine learning (ML) models without any ML experience or writing a single line of code. You will learn to build ML models for tabular and time series…

The Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01) consists of 20 questions. This question set aligns with the AIF-C01 version of the exam and exam guide. If you are looking for an assessment that is the same length as the…

The Official Practice Question Set: AWS Certified Machine Learning - Specialty (MLS-C01) consists of 20 questions. This question set aligns with the MLS-C01 version of the exam and exam guide. Official Practice Question Sets feature 20 questions…

The Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01) consists of 20 questions. This question set aligns with the MLA-C01 version of the exam and exam guide. If you are looking for an assessment that is…

Machine learning (ML) and Artificial Intelligence (AI) are becoming mainstream. In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate…