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AWS Certified Machine Learning Specialty 2024 – Hands On!

Udemy
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AWS Certified Machine Learning Specialty 2024 - Hands On! Udemy Coupon

AWS Certified Machine Learning Specialty 2024 – Hands On!

AWS machine learning certification preparation – learn SageMaker, feature engineering, data engineering, modeling & more

Created by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner, Solutions Architect, Developer | 13.5 hours on-demand video course

Update - 2024Updated for the latest SageMaker features, Generative AI (GPT), and new AWS ML Services. Happy learning!

Nervous about passing the AWS Certified Machine Learning – Specialty exam (MLS-C01)? You should be! There’s no doubt it’s one of the most difficult and coveted AWS certifications. A deep knowledge of AWS and SageMaker isn’t enough to pass this one – you also need deep knowledge of machine learning, and the nuances of feature engineering and model tuning that generally aren’t taught in books or classrooms. You just can’t prepare enough for this one.

In addition to the 11-hour video course, a 30-minute quick assessment practice exam is included that consists of the same topics and style as the real exam. You’ll also get four hands-on labs that allow you to practice what you’ve learned, and gain valuable experience in model tuning, feature engineering, and data engineering.

This AWS Certified Machine Learning Specialty 2024 – Hands On! course is structured into the four domains tested by this exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations.

AWS Certified Machine Learning Specialty 2024 – Hands On! Course

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
  • L1 and L2 regularization
  • Applying security best practices to machine learning pipelines

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This AWS Certified Machine Learning Specialty course also comes with:

  • Lifetime access to all future updates
  • A responsive instructor in the Q&A Section
  • Udemy Certificate of Completion Ready for Download
  • A 30 Day “No Questions Asked” Money Back Guarantee!

Join us in this course if you want to prepare for the AWS Machine Learning Certification and master the AWS platform!

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Josh Smith
Josh Smith

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