AWS Machine Learning Foundations Course

Amazon Web Services via Udacity

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Overview

AWS Machine Learning Foundations Course is an entry-level program designed to equip learners with a strong understanding of machine learning (ML) fundamentals and their application within the Amazon Web Services (AWS) ecosystem. Ideal for aspiring data scientists, developers, and technical professionals, the course provides both theoretical insights and hands-on experience in building ML solutions. You’ll begin with the core concepts of machine learning, including supervised and unsupervised learning, data preprocessing, model training, evaluation, and tuning. The course also introduces key ML...

Syllabus

Welcome to the AWS Machine Learning Foundations Course

Meet your instructors,What you will learn,Pre-requisites

Introduction to Machine Learning

Differentiate between supervised and unsupervised learning,Identify problems that can be solved with machine learning,Describe commonly used algorithms including linear regression, logistic regression, and k-means,Describe how model training and testing works,Evaluate the performance of a machine learning model using metrics

Machine Learning with AWS

Identify AWS machine learning offerings and understand how different services are used for different applications,Explain the fundamentals of computer vision and provide examples of popular tasks,Describe how reinforcement learning works in the context of AWS DeepRacer,Explain the fundamentals of generative AI and its applications, and describe three famous generative AI models in the context of music and AWS DeepComposer