MLOps Engineering on AWS
REF: MEAWS Catálogo: AWS Área: Machine Learning Path
Duração:
3 dias
Próxima Data:
Consulte-nos
Local:
Descrição
Could your machine learning (ML) workflow use some DevOps agility? MLOps Engineering on AWS will help you bring DevOps-style practices to building, training, and deploying ML models. ML data platform engineers, DevOps engineers, and developers/operations staff responsible for operationalizing ML models will learn to address the challenges associated with moving them between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. At the end of the course, move from learning to action by creating an MLOps roadmap for your organization.
*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.
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Área: AWS
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Destinatários: - DevOps Engineers - Ml engineers
Programa:
What you will learn:
- How to Deploy Your Models to the AWS Cloud
- How to automate workflows for building, training, testing, and deploying ML models
- Different deployment strategies for deploying ML models in production
- How to monitor data drift and concept drift that could affect forecasting and alignment with business expectations
- And more
Pré-requisitos:
- AWS Technical Essentials Course (Classroom or Digital)
- DevOps Engineering course on AWS or equivalent experience
- Hands-on data science training with Amazon SageMaker or equivalent experience
- The Elements of Data Science (digital course) or equivalent experience
- Machine Learning Terminology and Process (Digital Course)
Partilha:
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