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AWS Certified Machine Learning Specialty 2026 - Hands On!

AWS machine learning certification preparation - learn SageMaker, generative AI, data engineering, modeling & more
4.6 ★★★★★125,338 studentsCreated by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane, Sundog Education TeamLast updated Dec 7, 2025🌐 English

What you'll learn

What to expect on the AWS Certified Machine Learning Specialty exam
Amazon SageMaker's built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
Feature engineering techniques, including imputation, outliers, binning, and normalization
High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
Data engineering with S3, Glue, Kinesis, and DynamoDB
Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
Deep learning and hyperparameter tuning of deep neural networks
Automatic model tuning and operations with SageMaker
Applying security best practices to machine learning pipelines
L1 and L2 regularization

Requirements

Associate-level knowledge of AWS services such as EC2
Some existing familiarity with machine learning
An AWS account is needed to perform the hands-on lab exercises

Description

Frequently Asked Questions

Student Feedback

4.6
★★★★★
Course Rating
75%
15%
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S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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This course includes:
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