AWS SageMaker Practical for Beginners | Build 6 Projects

Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML
4.57 (2307 reviews)
Udemy
platform
English
language
Data Science
category
AWS SageMaker Practical for Beginners | Build 6 Projects
16,457
students
16 hours
content
Jun 2024
last update
$84.99
regular price

What you will learn

Train and deploy AI/ML models using AWS SageMaker

Optimize model parameters using hyperparameters optimization search.

Develop, train, test and deploy linear regression model to make predictions.

Deploy production level multi-polynomial regression model to predict store sales based on the given features.

Develop a deploy deep learning-based model to perform image classification.

Develop time series forecasting models to predict future product prices using DeepAR.

Develop and deploy sentiment analysis model using SageMaker.

Deploy trained NLP model and interact/make predictions using secure API.

Train and evaluate Object Detection model using SageMaker built-in algorithms.

Screenshots

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Related Topics
2907240
udemy ID
3/24/2020
course created date
5/22/2020
course indexed date
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