AWS Certified Machine Learning Engineer Associate

Key Features of the AWS Certified Machine Learning Engineer Associate course

• 24x7 Support from our Subject Matter Experts
• Unlimited Access for 2 Years
• Course completion certificate
• 2 Practice tests with unique 130+ questions and exhaustive explanations.

The AWS Certified Machine Learning Engineer Associate exam is ideal for those who

• Works hands-on with machine learning models.
• Wants to validate their ML engineering skills.
• Aims for career advancement.
• Desires to work with AWS ML services.
• Software developers
• DevOps engineers
• Data Engineer
• Data Scientists who work in production environments to implement and operationalize machine learning workloads.

What Are the Prerequisites for AWS Certified Machine Learning Engineer Associate Certification?

A minimum of one year of experience in machine learning engineering or a similar field, along with one year of practical experience using AWS services, is ideal for this exam. 

Skills You Will Gain From AWS Certified Machine Learning Engineer Associate Certification 

You will learn Model integration, Deployment, Performance, Cost optimization and Security on AWS through the AWS Certified Machine Learning Engineer Associate certification.

Skills Assessed in the AWS Certified Machine Learning Engineer Associate

• Data preparation for ML models
• Feature engineering
• Model training
• Model performance and metrics
• Model integration and deployment
• Performance and cost optimization
• Security

What’s the goal of the Practice Tests?

• To assist you in practicing questions in an exam-like environment and to pass the AWS Certified Machine Learning Engineer Associate (MLA-C01).
• Provide Questions on feature engineering, model training and performance analysis, and data transformation.
• Provide Questions on the key AWS AI services, including a deep dive on Bedrock, and Amazon SageMaker Data Wrangler.