The Machine Learning Pipeline on AWS (ML-PIPE)
REF: ML-PIPE Catálogo: AWS Área: Machine Learning Path
Duração:
4 Dias
Próxima Data:
Consulte-nos
Local:
Descrição
This course demonstrates how to use the Machine Learning (ML) pipeline to solve a real-world business problem in a project-based learning environment. You will learn about each stage of the pipeline through instructor presentations and demonstrations. You will then apply your knowledge to complete a project to solve one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, you will have successfully built, trained, evaluated, optimized, and deployed an ML model using Amazon SageMaker that solves the business problem at hand.
*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.
Destinatários
- Developers
- devops
- machine learning specialty
- sysops
Formação disponível apenas em inglês
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Área: AWS
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Certificação Associada: AWS Certified Machine Learning – Specialty
Programa:
What you will learn:
- Selection and motivation of the most suitable ML approach for a given business problem
- Using the ML pipeline to solve a specific business problem
- Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
- Describes some of the best practices for designing scalable, cost-effective, and secure ML pipelines on AWS
Pré-requisitos:
- Basic knowledge of Python programming language
- Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
- Basic operational experience in a Jupyter notebook environment
Formação disponível apenas em inglês
Partilha:
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