ML Deployment, Orchestration and MLOps
Deploying models to real-time, serverless, asynchronous and batch endpoints, automating ML workflows and building CI/CD for machine learning.
AWS-252 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · AWS Certifications
Course content
- 1Deployment options and their trade-offsComing
- 2Real-time and serverless endpointsComing
- 3Asynchronous and batch inferenceComing
- 4Choosing compute for inferenceComing
- 5Auto scaling endpointsComing
- 6Deployment strategies for modelsComing
- 7Infrastructure as code for MLComing
- 8SageMaker PipelinesComing
- 9CI/CD for machine learningComing
- 10Containers for model servingComing
- 11Edge and multi-model deploymentComing
- 12Case study: an automated training and deployment pipelineComing
Requirements
Recommended background. You can start any course at any time.
Description
Deploying models to real-time, serverless, asynchronous and batch endpoints, automating ML workflows and building CI/CD for machine learning.