From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Intro: AWS infrastructure, MLOps, and orchestration

Intro: AWS infrastructure, MLOps, and orchestration

From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Intro: AWS infrastructure, MLOps, and orchestration

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- [Instructor] Hello, guys. In this section we're going to explore AWS Infrastructure, MLOps and Orchestration strategies for building scalable and automated machine learning workflows. We start by comparing on demand and provision resources and discussing scaling policies for optimizing performance and cost. Infrastructure as code services will also be introduced in order to automate the resource provisioning. MLOps best practices would be covered as well. And we're going to introduce CICD pipelines, exploring GIT workflows, AWS code pipeline, code build and code deploy and use them for automating machine learning model updates. Automated testing in CICD pipelines and orchestration services for machine learning automation will also be covered along with some of the hands on labs for configuring, training and inference stops. Finally, we're going to cover model retraining frameworks in order to ensure models stay relevant over time.

Contents