MLOps with MLFlow – (Pre-Order)
MLOps is becoming more and more popular. The most popular framework in this niche is the MLFlow Framework. Do you need to create trackable, reproducible and scalable Machine Learning Applications? MLFlow is a Machine Learning Framework for small and enterprise level ML Projects. With this Mlflow Online Course you’ll learn MLFlow from scratch. This is a Pre-Order Course – still in development.
Exploration of the new MLOps area. Introduction to MLFlow Machine Learning Framework.
We’ll need to install Conda and Docker for MLFlow. Of course we are going to cover the basics of Docker.
The three main pillars of MLFlow are:
- MLFlow Tracking
- MLFlow Projects
- MLFlow Models
Mlflow Tracking is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for visualizing.
MLflow Model is a format for packaging machine learning models that can be used in a variety of downstream tools—e.g real-time serving via REST API or batch inference on AWS Sagemaker.
✔️ 100% Online
✔️ Low Difficulty
✔️ English Content
✔️ Practical Insights
✔️ Best Practice Tips
✔️ Certificate of Attendance
✔️ Worldwide recognition
Andrey Bulezyuk is the founder of German IT Academy and an Instructor. He covers topics from Web Development, Data Science, Machine Learning.
He published a Book “Algorithmic Trading“, giving his readers the opportunity to learn how to code automatic trading systems for the Stock Market.
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