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

AWS Certified Machine Learning Engineer – Associate (MLA-C01) | CBT Nuggets
English | Size: 8.51 GB
Genre: eLearning

This machine learning engineer course is designed to get you comfortable with the full lifecycle of machine learning workflows on AWS. You’ll learn how to prepare data, train models, and deploy them securely in a professional environment. With AWS expert Scott Pletcher as your guide, you’ll explore key AI and ML services like Amazon SageMaker and AWS Glue, and see how to apply them in your everyday work. You’ll get hands-on with tools that simplify, accelerate, and enhance the way you use the AWS ecosystem. By the end, you’ll be ready to earn a career-advancing credential from the world’s cloud and AI powerhouse: the AWS Certified Machine Learning Engineer – Associate certification. Take the MLA-C01 exam with confidence and move forward in your machine learning career.

What you’ll learn with AWS Machine Learning training
Build and train machine learning models with Amazon SageMaker
Prepare and clean datasets using AWS Glue
Automate model deployment with AWS Lambda
Apply security and compliance best practices for ML workloads
Optimize training performance and costs with Amazon EC2
Monitor and evaluate model accuracy using Amazon SageMaker

Who is AWS Machine Learning training for?
This course is for DevOps engineers, system administrators, and cloud professionals looking to apply machine learning in AWS environments. It’s a great fit for anyone moving from on-prem operations to cloud-based AI projects and looking for practical, production-ready ML experience.

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