Developing Machine Learning Solutions

Coursera MOOC / Non-credit USD 49

Enroll now →

Developing Machine Learning Solutions

About this course

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects.

What you'll learn

understand the machine learning lifecycle
utilize AWS services in machine learning projects
evaluate machine learning model performance
grasp the importance of MLOps

Course objectives

learn to integrate AWS into machine learning workflows
identify and assess various sources for machine learning models
streamline machine learning development and deployment through MLOps

Skills you'll gain

aws machine learning mlops model evaluation cloud computing deployment performance metrics data sources automated workflows development lifecycle

Related courses

Data Science Foundations

Machine Learning for Trading

DataPrep for H2O Driverless AI

Statistical Learning for Data Science

The Complete Quantum Computing Course

Internet of Things and AI Cloud

Applied Natural Language Processing in Engineering Part 2

Cloud Machine Learning Engineering and MLOps

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.