The Conference for Machine Learning Innovation

MLOps with MLFlow Workshop

Workshop
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos
Thursday, December 1 2022
09:00 - 12:30

– From DevOps to MLOps
– Overview of MLFlow
– Installing MLFlow
– Train own models with MLFlow
– Hyperparameter tuning and selecting the best fit models
– Bringing Models into production
– Using different libraries such as scikit, Tensorflow, etc.
– Wrap up & Outlook (Integrating Cloud, Model Monitoring, Apache Airflow, etc.

The MLFlow workshop will comprise of –

0. Why MLOps?

1. Motivation behind using MLFlow

2. MLFlow installation

3. MLFlow basics

4. Training model with MLFlow

5. Inferencing with MLFlow

6. Registering model for staging/production

7. Registering model through model binaries

8. Working with different libraries – PyTorch, Tensorflow, etc

9. Integration with AWS cloud services – EC2 instance, Fargate cluster, RDS Database, secrets-manager, and S3 bucket.

10. Wrap up

What will we provide(documentation):

1. MLFlow architecture

2. Code snippet

3. Easy step-by-step guide

More Details:

This workshop can be attended by absolute beginners in the MLOps (Machine learning Operations). Basic knowledge of Python will be required. The main objective of the workshop is to make you understand the need for MLOps and the crucial role of MLFlow in your machine learning pipelines.

The workshop will be 80 percent hands-on and we will not bore you with just the PowerPoint presentation. By the end of this workshop, we expect the participants to be able to train their models with the help of MLFlow and exploit the MLFlow capabilities such as inferencing and model registration.

For FAQs and more information you can contact us at mailto:[email protected] or the speaker personally at mailto:[email protected]

1. A Laptop with an internet connection

2. Main libraries that would be required (latest versions): mlflow, PyTorch, scikit-learn, TensorFlow (can be downloaded during the workshop, but you can save time and hassle by installing beforehand)

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This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks