Managing Machine Learning Life Cycles with MLflow

Managing Machine Learning Life Cycles With MLFlow

Managing Machine Learning
Life Cycles With MLFlow

The Path from DevOps to Machine Learning to MLOps

Recording available until 27. February 2024

This Fullstack Live Event Has Ended

This Live Event Has Ended

Want to know how to effectively orchestrate and manage your machine learning workflows?

This Fullstack Live Event covers the transition from DevOps to MLOps.

We’ll start by introducing MLflow and guide you through its installation and training in your own models. We’ll explore:

  • hyper-parameter tuning
  • model selection
  • the MLflow model registry.

In the second half, we’ll focus on Apache Airflow, an open source platform for workflow orchestration and scheduling. We’ll begin with an overview of Airflow, its concepts, and background. Then, we’ll delve into using Directed Acyclic Graphs (DAGs) and the Airflow GUI.

By the end of the workshop, you’ll have a solid understanding of integrating Airflow and MLflow into your existing pipeline. We’ll provide you with an architecture that combines both tools, enabling you to effectively orchestrate and manage your machine learning workflows.

For installation and pre-requisites please check:

Get To Know Our Expert

Saumya Goyal - Datamics GmbH

Saumya Goyal is an accomplished MLOps Engineer consultant at Datamics GmbH, specializing in guiding clients, particularly B/S/H, in seamlessly integrating MLOps solutions into their existing production pipelines.

With prior experience at Verizon, a renowned Fortune 500 company, Saumya has established a strong foundation in the field. Beyond her consulting responsibilities, Saumya is deeply passionate about sharing her expertise in Data Science. She actively engages with the community as a regular speaker, hosting webinars and workshops to educate and empower others. Furthermore, Saumya’s dedication to knowledge dissemination extends to her role as a technical blogger on the Medium platform, where she regularly publishes insightful articles.

Through her extensive industry experience and commitment to fostering learning opportunities, Saumya contributes to the advancement of MLOps practices and empowers organizations to leverage the full potential of data-driven solutions.

Get To Know Our Expert

Dr. René Brunner - Freelancer

Dr. René Brunner consults companies with Python and has been active in programming and Data Science for 20 years.

He has published numerous papers in journals and given talks at internationally renowned conferences in the field of Big Data Science. He is a professor at the Macromedia University of Applied Sciences in Munich.

Dr. René Brunner

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