Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267v2.13)
GA Date: Jan 24, 2025
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 ® 4.16, and Red Hat OpenShift AI 2.13.
Quick Fact Table |
Release |
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Length |
3 days ILT & 4 days VT |
Version |
2.13 |
Course Webpage |
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About |
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. Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) 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 has been updated from OpenShift AI version 2.8, to version 2.13. We’ve added a new chapter dedicated to controlling pipelines and experiments, additional information on LLMs, and brief sections of GenAI, Reinforcement AI, transfer learning techniques and more. |
Skill Paths |
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Associated Exam Details |
Red Hat Certified Specialist in OpenShift AI Exam (EX267)
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