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. Onsite live MLflow training can be carried out locally on customer premises in João Pessoa or in NobleProg corporate training centers in João Pessoa.
NobleProg -- Your Local Training Provider
João Pessoa - Hub Plural
Rua Maria das Dores Souza 81, João Pessoa, brazil, 58046-095
Make the most of work and leisure in a ready-to-use office space in João Pessoa. Choose how you work in our contemporary workspace, located just minutes from the golden sands of Cabo Branco beach and nestled among some of the best social spots in the port city.
This instructor-led, live training in (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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