AWS Certified Machine Learning Specialty 2025 - Hands On!
AWS machine learning certification preparation - learn SageMaker, generative AI, data engineering, modeling & more
4.62 (15276 reviews)
116 250
students
15 hours
content
May 2025
last update
$119.99
regular price
What you will 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
L1 and L2 regularization
Applying security best practices to machine learning pipelines
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Our Verdict
This course offers an invaluable foundation for those looking to pass the AWS Certified Machine Learning Specialty exam and serves as a vital resource for understanding essential machine learning concepts in an AWS context. Its knowledgeable instructors navigate students through various crucial topics, including Amazon SageMaker algorithms, feature engineering, exploratory data analysis, and deep learning. Be prepared for a fast-paced course that may require revisiting certain sections or self-paced study to solidify understanding.
What We Liked
- Comprehensive coverage of AWS Certified Machine Learning Specialty exam topics.
- Knowledgeable instructors who effectively explain essential concepts like SageMaker algorithms, feature engineering techniques, and data engineering.
- Well-organized sections allowing for efficient learning.
- Ideal course for those pursuing the AWS Machine Learning certification or looking to bolster their understanding of various machine learning areas within AWS.
Potential Drawbacks
- The fast pace may challenge beginners in machine learning; previous experience could be helpful—plan to revisit topics.
- Limited hands-on exercises and shorter quizzes might require additional self-paced practice or further study.
- Some users find data engineering sections light on explanation, suggesting the need for extra research.
2529790
udemy ID
27/08/2019
course created date
05/11/2019
course indexed date
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