MLOps engineering on AWS

Course Introduction

• Machine learning operations
• Goals of MLOps
• Communication
• From DevOps to MLOps
• ML workflow
• Scope
• maps view of ML workflow
• MLOps cases

• Intro to train, build, & evaluate machine learning models
• MLOps security
• Automating
• Apache Airflow
• Kubernetes integration for MLOps
• Amazon SageMaker for MLOps
• Lab- Bring your own algorithm to an MLOps pipeline
• Demonstration- Amazon SageMaker
• Intro to train, build and evaluate machine learning models
• Lab- Code and serve your ML model with AWS CodeBuild
• Activity- MLOps Action Plan Workbook

• Introduction to deployment operations
• Model packaging
• Inference
• Lab- Deploy your model to production
• SageMaker production variants
• Deployment strategies
• Deploying to the edge
• Lab- Conduct A/B testing
• Activity- MLOps Action Plan Workbook

• Lab- Troubleshoot your pipeline
• The importance of monitoring
• Monitoring by design
• Lab- Monitor your ML model
• Human-in-the-loop
• Amazon SageMaker Model Monitor
• Demonstration- Amazon SageMaker Pipelines, Model Monitor, model registry, and Feature Store
• Solving the Problem(s)
• Activity- MLOps Action Plan Workbook

• Course review
• Activity- MLOps Action Plan Workbook
• Wrap-up

MLOps Engineers (or ML Engineers) enable model deployment automation to production systems. The amount of automation varies with the organization. MLOps Engineers take a data scientist's model and make it accessible to the software that utilizes it.

EC2 is a service that enables business clients to run application programs in the computing environment.

AWS security provides opportunities to protect the data, check out security-related activity and receive automated responses.

Radiant believes in a practical and creative approach to training and development, which distinguishes it from other training and developmental platforms. Moreover, training courses are undertaken by some of the experts who have a vast range of experience in their domain.

Radiant team of experts will be available at e-mail support@radianttechlearning.com to answer your technical queries even after the training program.

Yes, Radiant will provide you most updated high-value and relevant real-time projects and case studies in each training program.

Technical issues are unpredictable and might occur with us as well. Participants have to ensure that they have access to the required configuration with good internet speed.

Radiant Techlearning offers training programs on weekdays, weekends, and a combination of weekdays and weekends. We provide you with complete liberty to choose the schedule that suits your need.