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URL: https://www.coursera.org/learn/introduction-to-red-hat-openshift-ai

⇱ Introduction to Red Hat OpenShift AI | Coursera

Introduction to Red Hat OpenShift AI

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Introduction to Red Hat OpenShift AI

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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

There are 4 modules in this course

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.

What's included

3 videos3 readings

3 videos•Total 24 minutes
  • Course Introduction•1 minute
  • Introduction to Red Hat OpenShift AI•12 minutes
  • Architecture•11 minutes
3 readings•Total 30 minutes
  • Course Layout•10 minutes
  • Introduction to Red Hat OpenShift AI•10 minutes
  • Architecture•10 minutes

What's included

6 videos4 readings

6 videos•Total 50 minutes
  • Data Science Projects•6 minutes
  • Sample Exercise: Data Science Projects•4 minutes
  • Workbenches•17 minutes
  • Sample Exercise: Workbenches•7 minutes
  • Data Connections•9 minutes
  • Sample Exercise: Data Connections•8 minutes
4 readings•Total 40 minutes
  • Data Science Projects•10 minutes
  • Sample Exercise Context•10 minutes
  • Workbenches•10 minutes
  • Data Connections•10 minutes

What's included

4 videos2 readings

4 videos•Total 59 minutes
  • Introduction to Jupyter Notebooks•22 minutes
  • Sample Exercise: Introduction to Jupyter Notebooks•7 minutes
  • Collaboration with Jupyter Notebooks•25 minutes
  • Sample Exercise: Collaboration with Jupyter Notebooks•6 minutes
2 readings•Total 20 minutes
  • Introduction to Jupyter Notebooks•10 minutes
  • Collaboration with Jupyter Notebooks•10 minutes

What's included

1 assignment

1 assignment•Total 45 minutes
  • Comprehensive Review•45 minutes

Instructor

Red Hat
9 Courses•2,773 learners

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