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AWS ML certification preparation

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AWS ML Certification Preparation Course

AWS machine learning certification

Advance your cloud and AI career with this focused AWS machine learning certification preparation course. Designed to help you pass the AWS Certified Machine Learning – Specialty exam, this course covers real-world ML concepts, best practices, and AWS services, giving you the confidence to tackle machine learning tasks in the cloud.

What You’ll Learn

  • Core machine learning concepts and model evaluation techniques
  • Using AWS services like SageMaker, Rekognition, Comprehend, and more
  • Building, training, tuning, and deploying ML models on AWS
  • Security, automation, and scaling strategies in AWS ML workflows
  • Preparing datasets and feature engineering on AWS
  • Understanding the exam domains and question patterns
  • Hands-on projects simulating real-world AWS ML scenarios

Requirements

  • Basic knowledge of Python and machine learning fundamentals
  • Familiarity with AWS basics (IAM, EC2, S3, etc.)
  • AWS account for hands-on labs (free tier sufficient)

Course Description

This AWS machine learning certification course is structured around the four domains tested in the exam: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation & Operations. Through in-depth lessons and practical labs, you’ll gain firsthand experience in designing ML solutions using AWS’s powerful suite of tools.

You’ll learn how to prepare and transform data, train and tune models, deploy them securely at scale, and monitor performance over time. Practice quizzes, mock exams, and real-world scenarios will prepare you for both the certification exam and practical ML projects in cloud environments.

By completing this course, you’ll be equipped not only to pass the AWS Certified Machine Learning – Specialty exam but also to build scalable, production-grade ML systems using AWS.

About the Instructor

Created by certified AWS professionals with real-world ML deployment experience, this course blends theory, AWS-specific knowledge, and hands-on labs to ensure effective learning.

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