AWS Certified Machine Learning Engineer - Associate (MLA-C01)

AWS Certified Machine Learning Engineer - Associate (MLA-C01)

 AWS Certified Machine Learning - Specialty exam. This certification is tailored for professionals seeking to demonstrate their expertise in building, training, and deploying machine learning models on the AWS platform. By earning this certification, you showcase your ability to design and implement scalable, cost-effective, and secure machine learning solutions using AWS services.

Who should take the AWS Certified Machine Learning Engineer - Associate Exam?

This certification is ideal for individuals with at least one year of experience in machine learning engineering or a related field, plus hands-on experience with AWS services. Even if you're new to machine learning, you can start building your knowledge and skills through the available Exam Prep Plans.

Course Outline

The AWS Certified Machine Learning Engineer - Associate exam covers the following topics -

Data Preparation for Machine Learning

• Ingest and store various data formats using AWS services.
  
• Transform and perform feature engineering with tools like AWS Glue and SageMaker Data Wrangler.
• Ensure data integrity and quality for optimal model training.

ML Model Development

• Choose the right modeling approach and algorithms to solve business problems.
  
• Train and refine models using techniques like hyperparameter tuning and model optimization.
• Analyze and evaluate model performance using metrics such as accuracy, precision, and recall.

Deployment and Orchestration of ML Workflows

• Select and configure deployment infrastructure using AWS services.
  
• Create and script infrastructure to meet scalability and performance requirements.
• Implement deployment strategies like real-time and batch inference for your models.