Could your Machine Learning (ML) workflow use some DevOps agility? MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models. ML data platform engineers, DevOps engineers, and developers/operations staff with responsibility for operationalizing ML models will learn to address the challenges associated with handoffs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. By the end of the course, go from learning to doing by building an MLOps action plan for your organization.
current course dates can be found at the bottom of this page … company training available on request!
This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data, model, and code to successful ML deployments. It will demonstrate the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course will also discuss the use of tools and processes to monitor and take action when the model prediction in production starts to drift from agreed-upon key performance
indicators.
The instructor will encourage the participants in this course to build an MLOps action plan for their organization through daily reflection of lesson and lab content, and through conversations with peers and instructors.
In this course, you will learn to:
This course is intended for:
We recommend that attendees of this course have:
This course includes:
IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.
Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.
Datum | Kurs | Preis pro TN | ||
---|---|---|---|---|
19.06.2023 - 21.06.2023 | MLOps Engineering on AWS Online in - Virtual Classroom | 2.500,00 € zzgl. MwSt. | Buchen | |
23.08.2023 - 25.08.2023 | MLOps Engineering on AWS Online in - Virtual Classroom | 2.500,00 € zzgl. MwSt. | Buchen | |
30.10.2023 - 01.11.2023 | MLOps Engineering on AWS Online in - Virtual Classroom | 2.500,00 € zzgl. MwSt. | Buchen | |
13.11.2023 - 15.11.2023 | MLOps Engineering on AWS Online in - Virtual Classroom | 2.685,00 € zzgl. MwSt. | Buchen | |
13.11.2023 - 15.11.2023 | MLOps Engineering on AWS Art Deco Palais - Wredestraße 11 in 80335 München | 2.685,00 € zzgl. MwSt. | Buchen |
Please do not hesitate to contact us by phone:
or send us a message:
Click the button below to load the HubSpot form content.
+43 720 34 36 11 (AT)
+41 415 41 16 60 (CH)
+49 511 590 95950 (International)
+49 511 59 0 95 590 (Fax)