Logo da Alura
How it works
Data >

Course of MLflow: machine learning lifecycle

is part of courses of em Data. Discussions about this course

Course summary

  • Get to know MLflow and its features
  • Know how to manage the lifecycle of models with MLflow
  • Learn how to control machine learning experiments
  • Understand how to reproduce models created with MLflow
  • Create a project with MLflow

Target Audience

Analytics professionals and machine learning engineers who want to improve model lifecycle management.

Related Content

Courses of Data

Last update

31/05/2023

Already a student?

Start the course now

8h

To conclusion

39

Activities

119

Minutes of video

0

Students in this course

Certificate of participation

Instructors

Detailed content

  1. Introduction to MLflow

    • Installing MLflow
    • Running a project
    • Creating the project

  2. MLflow Tracking

    • Training the models
    • Improving the model
    • Tracking results
    • MLflow Tracking API

  3. MLflow Model

    • Creating scripts
    • Using parameters

  4. Model Predict

    • Predict with PyFuncModel
    • Models CLI and API
    • Consuming the API

  5. Model Registry and Docker

    • Updating the model's version
    • Model deployment with Docker
    • Summary

Don't study with us yet?

Invest in your career!

Start now