AWS Certified Machine Learning Engineer - Associate (MLA-C01): Deployment and Orchestration of ML Workflows
AWS Certified Machine Learning Engineer - Associate (MLA-C01): Deployment and Orchestration of ML Workflows
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 3h 30m | 921 MB
Instructor: Faye Ellis
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 3h 30m | 921 MB
Instructor: Faye Ellis
The third domain of the Machine Learning Engineer Associate certification exam is Deployment and Orchestration of ML Workflows. This course will teach you the concepts and skills needed to pass this domain of the exam.
What you'll learn
After developing, training, and refining a machine learning model, you’ll be ready to deploy it in a production setting. In this course, AWS Certified Machine Learning - Associate (MLA-C01): Deployment and Orchestration of ML Workflows, you’ll learn how to deploy and orchestrate machine learning models.
First, you’ll explore how to select the appropriate deployment infrastructure. Next, you’ll discover how to create and script infrastructure. Finally, you’ll learn how to use automated orchestration tools to set up continuous integration and continuous delivery pipelines.
When you’re finished with this course, you’ll have the skills and knowledge of machine learning on AWS needed to excel in this domain of the certification exam.
AWS Certified Machine Learning Engineer - Associate (MLA-C01): Deployment and Orchestration of ML Workflows
