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Red Hat Partner Delivered
Develop and Deploy AI/ML Applications on Red Hat OpenShift AI w/Exam (AI268)
- 4 days
- 0 upcoming dates
Upcoming dates
No public dates scheduled right now
This class runs as a private cohort on dates that suit your team, at your site or delivered live online. Tell us roughly when and how many people, and we'll come back with dates and a total.
Private delivery is usually faster and works out better per seat once you're past four or five people.
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One email when a date is set. Nothing else, and no list.
About this class
Develop and Deploy AI/ML Applications on Red Hat OpenShift AI w/Exam (AI268) is not on the public schedule at the moment, and runs as a private cohort on dates you choose. Seats are $3,824 each over 4 days, courseware included. Tell us your dates and headcount and a quote comes back the same business day. Purchase orders welcome.
An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI.
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.
Course outline
- Introduction to Red Hat OpenShift AI
- Data Science Projects
- Jupyter Notebooks
- Red Hat OpenShift AI Installation
- User and Resources Management
- 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
- Introduction to Data Science Pipelines
- Working with Pipelines
- Controlling Pipelines and Experiments
Before you attend
- Experience with Git is required
- Experience in Python development is required, or completion of the Python Programming with Red Hat (AD141) course
- Experience in Red Hat OpenShift is required, or completion of the Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288) course
- Basic experience in the AI, data science, and machine learning fields is recommended
Who this is for
Data scientists and AI practitioners who want to use Red Hat OpenShift AI to build and train ML models Developers who want to build and integrate AI/ML enabled applications Developers, data scientists, and AI practitioners who want to automate their ML workflows MLOps engineers responsible for operationalizing the ML lifecycle on Red Hat OpenShift AI
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
Request a quote
Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.