Udemy – AWS SageMaker Practical for Beginners | Build 6 Projects 2021-4

Udemy – AWS SageMaker Practical for Beginners | Build 6 Projects 2021-4 Downloadly IRSpace

Apr 17, 2025 - 12:32 Updated: Apr 21, 2025 - 04:45

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Udemy – AWS SageMaker Practical for Beginners | Build 6 Projects 2021-4

AWS SageMaker Practical for Beginners | Build 6 Projects is a complete course to learn AWS SageMaker algorithms (Linear Learner, XGBoost, PCA, image classification) and Learn SageMaker Studio and AutoML. Machine and deep learning are the hottest topics in technology! Various fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology. AWS is one of the most widely used ML cloud computing platforms worldwide – several Fortune 500 companies depend on AWS for their business operations. SageMaker is a fully managed service on AWS that allows data scientists and AI professionals to train, test, and deploy AI/ML models quickly and efficiently. In this course, students learn how to create AI/ML models using AWS SageMaker.

What you will learn in this course:

Train and deploy AI/ML models using AWS SageMaker
Optimizing model parameters using hyperparameter optimization search.
Development, training, testing and deployment of a linear regression model for forecasting.
Establishment of production level polynomial regression model to predict store sales based on given characteristics.
And much more

Who is this course for:

Artificial intelligence practitioners
Aspiring data scientists
Technology enthusiasts
Data science consultants

Course specifications:

Publisher : Udemy
Instructor(s) : Dr. Ryan Ahmed, SuperDataScience Team, Mitchell Bouchard, Ligency Team
Language : English
Level : Intermediate
Duration : 16h 14m
number of lessons : 109
Format : mp4