Creating Machine Learning Models with Python and Red Hat OpenShift AI

Live Online (VILT) & Classroom Corporate Training Course

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Master Python programming and learn to build and deploy AI/ML models using Red Hat OpenShift AI. Gain practical experience in AI/ML workflows and best practices.

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Creating Machine Learning Models with Python and Red Hat OpenShift AI

Overview

The Creating Machine Learning Models with Python and Red Hat OpenShift AI course provides a comprehensive introduction to Python programming, basic machine learning concepts, and practical training on using Red Hat OpenShift AI for building and deploying ML models. Participants will gain hands-on experience in Python programming, understanding machine learning workflows, and applying best practices in AI/ML model training using Red Hat OpenShift AI. This course is ideal for data scientists, developers, and MLOps engineers looking to enhance their skills in AI/ML development.

Objectives

By the end of this course, leaner will be able to:

  • Understand and apply Python syntax, functions, and data types.
  • Learn the basics of machine learning concepts and different types of machine learning.
  • Train ML models using default and custom workbenches.
  • Apply best practices in AI/ML model training using Red Hat OpenShift AI.
  • Debug Python scripts and handle runtime errors effectively.

Prerequisites

  • Experience with Git is required for version control and collaboration.
  • Experience in Red Hat OpenShift or completion of the Red Hat OpenShift Developer II course is necessary.
  • Basic understanding of AI, data science, and machine learning is recommended.
  • Familiarity with Python programming is helpful, though not required.
  • Ability to set up and configure the Python development environment is needed.

Course Outline

Module 1: Introduction to Python and Setting Up the Developer Environment2024-08-11T18:05:47+05:30
  • Overview of Python and its use cases.
  • Setting up the development environment for Python programming.
Module 2: Basic Python Syntax and Language Components2024-08-11T18:06:25+05:30
  • Learning Python syntax, functions, and data structures.
  • Understanding control flow features and operators.
Module 3: Introduction to Machine Learning2024-08-11T18:07:16+05:30
  • Exploring basic machine learning concepts and workflows.
  • Understanding different types of machine learning.
Module 4: Training Models2024-08-11T18:07:50+05:30
  • Training ML models using Python and Red Hat OpenShift AI.
  • Utilizing default and custom workbenches for model training.
Module 5: Enhancing Model Training with Red Hat OpenShift AI2024-08-11T18:08:30+05:30
  • Applying best practices in AI/ML using Red Hat OpenShift AI.
  • Managing and optimizing ML workloads on the platform.
2024-08-11T23:00:28+05:30

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