Cursos de MLflow

Cursos de MLflow

Cursos de MLflow guiados por instrutor ao vivo no Portugal.

Programa de curso MLflow

Nome do Curso
Duração
Visão geral
Nome do Curso
Duração
Visão geral
21 horas
Visão geral
MLflow is an open source platform for streamlining and managing the machine learning lifecycle. It supports any ML (machine learning) library, algorithm, deployment tool or language. Simply add MLflow to your existing ML code to share the code across any ML library being used within your organization.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process.

By the end of this training, participants will be able to:

- Install and configure MLflow and related ML libraries and frameworks.
- Appreciate the importance of trackability, reproducability and deployability of an ML model
- Deploy ML models to different public clouds, platforms, or on-premise servers.
- Scale the ML deployment process to accommodate multiple users collaborating on a project.
- Set up a central registry to experiment with, reproduce, and deploy ML models.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Próximos Cursos de MLflow

Cursos de fim de semana de MLflow, Treinamento tardiurno de MLflow, Treinamento em grupo de MLflow, MLflow guiado por instrutor, Treinamento de MLflow de fim de semana, Cursos de MLflow tardiurnos, coaching de MLflow, Instrutor de MLflow, Treinador de MLflow, Cursos de treinamento de MLflow, Aulas de MLflow, MLflow no local do cliente, Cursos privados de MLflow, Treinamento individual de MLflow

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As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
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  • creating new courses outlines
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  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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