AWS Certified Machine Learning Engineer Associate Certification Training

The AWS Certified Machine Learning Engineer Associate Certification Training is designed to provide comprehensive, in-depth training in AWS Certified Machine Learning Engineer Associate. Prerequisites 1+ Year of Experience in MLOps, Data Engineering, or Software Development Machine Learning Fundamentals Data Engineering Fundamentals Software Engineering Fundamentals Git Version Control CI/CD Fundamentals Infrastructure as Code (IaC) Amazon SageMaker Fundamentals Amazon S3 Fundamentals Amazon EC2 Fundamentals AWS Security Fundamentals What Will You Learn Data Preparation and Engineering Data Ingestion and Transformation Machine Learning Model Development Model Training and Hyperparameter Tuning Amazon SageMaker Workflows Model Deployment and Inference Batch and Real-Time Predictions MLOps and CI/CD Pipelines ML Monitoring and Model Performance Tracking AWS Security for Machine Learning Workloads Who Should Do This Course Machine Learning Engineers Data Scientists Data Engineers Software Developers Cloud Engineers DevOps Engineers AI Engineers MLOps Engineers AWS Professionals IT Professionals Working with Machine Learning Solutions Tools and Technologies Covered Amazon SageMaker SageMaker Data Wrangler SageMaker Feature Store SageMaker Model Registry SageMaker Model Monitor AWS Glue Amazon Kinesis AWS CodePipeline AWS CodeBuild Amazon CloudWatch AWS Identity and Access Management (IAM) AWS Key Management Service (KMS) Amazon Bedrock SageMaker JumpStart The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.