MLOps Platforms: Amazon SageMaker and Azure ML
This course is part of MLOps | Machine Learning Operations Specialization
Instructors: Noah Gift +1 more
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
What you'll learn
Skills you'll gain
There are 5 modules in this course
Through a series of hands-on exercises, you will gain an intuition for basic machine learning algorithms and practical experience working with these leading Cloud platforms. By the end of the course, you will be able to deploy machine learning solutions in a production environment using AWS and Azure technology. Week 1. Explore data engineering with AWS technology. We’ll discuss topics such as getting started with machine learning on AWS, creating data repositories, and identifying and implementing solutions for data ingestion and transformation. Week 2. Gain basic data science skills with AWS technology. You will learn data cleaning techniques, perform feature engineering, data analysis, and data visualization for machine learning. We’ll prioritize using serverless solutions that are available on AWS to make the process more efficient. Week 3. Learn machine learning models with AWS technology. We’ll examine how to select appropriate models for the task at hand, choose hyperparameters, train models on the platform, and evaluate models. Week 4. Learn MLOps with AWS: the final phase of putting machine learning into production. We’ll discuss topics such as operationalizing a machine learning model, deciding between CPU and GPU, and deploying and maintaining the model. Week 5. Learn how to work with data and machine learning in a second leading Cloud-based platform: Azure ML.
Exploratory Data Analysis with AWS Technology
Modeling with AWS Technology
MLOps with AWS Technology
Machine Learning Certifications
Explore more from Machine Learning
©2025 ementorhub.com. All rights reserved