Praha (1 905 €)
Brno (on request)
Bratislava (1 905 €)
Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) provides students with the fundamental knowledge about using Red Hat OpenShift for developing and deploying AI/ML applications. This course helps students build core skills for using Red Hat OpenShift AI to train, develop and deploy machine learning models through hands-on experience. This course is based on Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8. Note: This course is offered as a 3 day in person class, a 4 day virtual class or is self-paced. Durations may vary based on the delivery. For full course details, scheduling, and pricing, select your location then “get started” on the right hand menu.
Impact on the Organization
Organizations collect and
store vast amounts of information from multiple sources. With Red Hat OpenShift
AI, organizations have a platform ready to analyze data, visualize trends and
patterns, and predict future business outcomes by using machine learning and
artificial intelligence algorithms.
Impact on the Individual
As a result of attending
this course, you will understand the foundations of the Red Hat OpenShift AI
architecture. You will be able to install Red Hat OpenShift AI, manage resource
allocations, update components and manage users and their permissions. You will
also be able to train, deploy and serve models, including how to use Red Hat
OpenShift AI to apply best practices in machine learning and data science.
Finally you will be able to create, run, manage and troubleshoot data science
pipelines.
Introduction to Red Hat OpenShift AI
Data Science Projects
Jupyter Notebooks
Installing Red Hat OpenShift AI
Managing Users and Resources
Custom Notebook Images
Introduction to Machine Learning
Training Models
Enhancing Model Training with RHOAI
Introduction to Model Serving
Model Serving in Red Hat OpenShift AI
Custom Model Servers
Introduction to Data Science Pipelines
Elyra Pipelines
KubeFlow Pipelines
The prices are without VAT.