Introduction to Python Programming and to Red Hat OpenShift AI Virtual Training VT

Virtual, 5 Days

$4,400.00

Introduction to Python Programming and to Red Hat OpenShift AI Virtual Training VT

Course Description

An introduction to Python programming, to machine learning concepts, and how to use Red Hat OpenShift AI to train ML models.

Python is a popular programming language used by system administrators, data scientists, and developers to create applications, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches students basic machine learning concepts, and the different types of machine learning. This course helps students build core skills such as using Red Hat OpenShift AI to train ML models and how to apply best practices when training models through hands-on experience.

This course is based on Python 3, RHEL 9.0, Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8.

Note: This course is offered as a 4 day in person class or a 5 day virtual class. 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.

Course Content Summary

  • Basics of Python syntax, functions and data types
  • How to debug Python scripts using the Python debugger (pdb)
  • Use Python data structures like dictionaries, sets, tuples and lists to handle compound data
  • Learn Object-oriented programming in Python and Exception Handling
  • How to read and write files in Python and parse JSON data
  • Use powerful regular expressions in Python to manipulate text
  • How to effectively structure large Python programs using modules and namespaces
  • Introduction to Machine Learning
  • Training Models
  • Enhancing Model Training with RHOAI

Target Audience

  • 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
  • MLOps engineers responsible for installing, configuring, deploying, and monitoring AI/ML applications on Red Hat OpenShift AI

Recommended training

  • Experience with Git is required
  • 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

Technology considerations

  • No ILT classroom will be available