AWS Certified Machine Learning Engineer Associate: Hands On!

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

Created by: Sundog Education by Frank Kane
Join over 900K students learning ML, AI, AWS, and Data Eng.

Created by: Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
Best Selling Instructor, 11x AWS Certified, Kafka Guru

Created by: Frank Kane
Ex-Amazon Sr. Engineer and Sr. Manager, CEO Sundog Education

What Will I 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.

Target audience

• 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.