Online or onsite, instructor-led live MLflow training courses demonstrate through interactive hands-on practice how to use MLflow for streamlining and managing the machine learning lifecycle.
MLflow training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Bilbao onsite live MLflow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bilbao
NobleProg Bilbao, Street Bikendi Kalea 5, Bizcaya, spain, 48001
Bilbao is a municipality located in the north of Spain, capital of the province and historical territory of Vizcaya, in the a...
Bilbao is a municipality located in the north of Spain, capital of the province and historical territory of Vizcaya, in the autonomous community of the Basque Country. The town of Bilbao is the capital and unique locality of the municipality, with 345 141 inhabitants.
Today it is a thriving city of services, which is in a process of aesthetic, social and economic revitalization led by the symbolic Guggenheim Museum Bilbao.
In addition to its airport, Bilbao has a large and effective line of railways and buses that circulate throughout the municipality.
This instructor-led, live training in Bilbao (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.
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the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
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