The AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam validates a
candidate’s ability to build, operationalize, deploy, and maintain machine learning
(ML) solutions and pipelines by using the AWS Cloud.
• This workshop prepares learners for the AWS Certified Machine Learning Engineer - Associate exam by strengthening key concepts & practical skills.
• Select general modeling approaches, train models, tune hyperparameters,
analyze model performance, and manage model versions.
• Choose deployment infrastructure and endpoints, provision compute
resources, and configure auto scaling based on requirements.
• Set up continuous integration and continuous delivery (CI/CD) pipelines to
automate orchestration of ML workflows.
• Monitor models, data, and infrastructure to detect issues.
• Secure ML systems and resources through access controls, compliance features,
and best practices.
Key Topics Covered:
• Data Preparation for Machine Learning (ML)
• Domain 2: ML Model Development
• Domain 3: Deployment and Orchestration of ML Workflows
• Domain 4: ML Solution Monitoring, Maintenance, and Security
