AWS Certified Machine Learning Engineer Associate: Hands On!

AWS Certified Machine Learning Engineer Associate: Hands On!
2025-02-19
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.

What you’ll learn
Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam.
Understand and apply key AWS machine learning services like SageMaker, Bedrock, and more.
Perform data preparation, feature engineering, and data validation for ML models.
Master hyperparameter tuning, model training, and deployment strategies on AWS.
Implement CI/CD pipelines and automation for scalable machine learning workflows.
Secure, monitor, and optimize AWS ML infrastructure for performance and cost-efficiency.

Requirements
This course is ideal for individuals with at least one year of experience using Amazon SageMaker and other AWS services for machine learning. A background in data engineering, DevOps, or software development, along with a basic understanding of machine learning algorithms and cloud infrastructure, is recommended.

Description
Who this course is for:
Data engineers, data scientists, DevOps professionals, and software developers who are looking to advance their careers by obtaining the AWS Certified Machine Learning Engineer Associate certification, IT professionals who have experience working with AWS services and want to deepen their understanding of machine learning solutions on the AWS platform.

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