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Introduction to Red Hat OpenShift AI

Introduction to Red Hat OpenShift AI provides students with the basics of using Red Hat OpenShift AI for their AI/ML workloads. This course helps students build core skills such as describing the Red Hat OpenShift AI architecture, and organizing, executing and testing AI/ML code through hands-on experience. These skills can be applied in all versions of Red Hat OpenShift AI. Course objectives: Identify the main features of Red Hat OpenShift AI and describe the architecture and components of Red Hat AI. Organize code and configuration by using data science projects, workbenches, and data connections. Use Jupyter notebooks to execute and test code interactively.
Duration 3 Months
Institution Red Hat
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Red Hat.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $214
Total Est. Investment $214

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Introduction to Red Hat OpenShift AI program at Red Hat are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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