AWS Machine Learning Foundations Course

Overview

Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.

Learn the fundamentals of advanced machine learning areas such as computer vision, reinforcement learning, and generative AI. Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepRacer and AWS DeepComposer).

Learn how to prepare, build, train, and deploy high-quality machine learning (ML) models quickly with Amazon SageMaker and learn object-oriented programming best practices.

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